Text Generation
Transformers
Safetensors
PEFT
llama
protein
ptm
adp-ribosylation
lora
conversational
text-generation-inference
Instructions to use jbenbudd/ADPrLlama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jbenbudd/ADPrLlama with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="jbenbudd/ADPrLlama") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jbenbudd/ADPrLlama") model = AutoModelForCausalLM.from_pretrained("jbenbudd/ADPrLlama", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - PEFT
How to use jbenbudd/ADPrLlama with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use jbenbudd/ADPrLlama with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jbenbudd/ADPrLlama" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jbenbudd/ADPrLlama", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/jbenbudd/ADPrLlama
- SGLang
How to use jbenbudd/ADPrLlama with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "jbenbudd/ADPrLlama" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jbenbudd/ADPrLlama", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "jbenbudd/ADPrLlama" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jbenbudd/ADPrLlama", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use jbenbudd/ADPrLlama with Docker Model Runner:
docker model run hf.co/jbenbudd/ADPrLlama
Upload trainer_log_history.json with huggingface_hub
Browse files- trainer_log_history.json +1491 -0
trainer_log_history.json
ADDED
|
@@ -0,0 +1,1491 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"loss": 10.1939,
|
| 4 |
+
"grad_norm": 74.8128433227539,
|
| 5 |
+
"learning_rate": 3.75e-05,
|
| 6 |
+
"epoch": 0.017889087656529516,
|
| 7 |
+
"step": 5
|
| 8 |
+
},
|
| 9 |
+
{
|
| 10 |
+
"loss": 3.9273,
|
| 11 |
+
"grad_norm": 12.053423881530762,
|
| 12 |
+
"learning_rate": 7.5e-05,
|
| 13 |
+
"epoch": 0.03577817531305903,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"loss": 1.4898,
|
| 18 |
+
"grad_norm": 40.130340576171875,
|
| 19 |
+
"learning_rate": 0.0001125,
|
| 20 |
+
"epoch": 0.05366726296958855,
|
| 21 |
+
"step": 15
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"loss": 0.9064,
|
| 25 |
+
"grad_norm": 3.677988290786743,
|
| 26 |
+
"learning_rate": 0.00015,
|
| 27 |
+
"epoch": 0.07155635062611806,
|
| 28 |
+
"step": 20
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"loss": 0.8129,
|
| 32 |
+
"grad_norm": 1.335487961769104,
|
| 33 |
+
"learning_rate": 0.00018749999999999998,
|
| 34 |
+
"epoch": 0.08944543828264759,
|
| 35 |
+
"step": 25
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"loss": 1.1672,
|
| 39 |
+
"grad_norm": 29.67264175415039,
|
| 40 |
+
"learning_rate": 0.000225,
|
| 41 |
+
"epoch": 0.1073345259391771,
|
| 42 |
+
"step": 30
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"loss": 0.7385,
|
| 46 |
+
"grad_norm": 1.039961576461792,
|
| 47 |
+
"learning_rate": 0.0002625,
|
| 48 |
+
"epoch": 0.1252236135957066,
|
| 49 |
+
"step": 35
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"loss": 0.6884,
|
| 53 |
+
"grad_norm": 0.4314720928668976,
|
| 54 |
+
"learning_rate": 0.0003,
|
| 55 |
+
"epoch": 0.14311270125223613,
|
| 56 |
+
"step": 40
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"loss": 0.6748,
|
| 60 |
+
"grad_norm": 0.40387117862701416,
|
| 61 |
+
"learning_rate": 0.0002999961486050259,
|
| 62 |
+
"epoch": 0.16100178890876565,
|
| 63 |
+
"step": 45
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"loss": 0.6628,
|
| 67 |
+
"grad_norm": 0.448535293340683,
|
| 68 |
+
"learning_rate": 0.00029998459461788026,
|
| 69 |
+
"epoch": 0.17889087656529518,
|
| 70 |
+
"step": 50
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"loss": 0.6659,
|
| 74 |
+
"grad_norm": 0.5291304588317871,
|
| 75 |
+
"learning_rate": 0.0002999653386318826,
|
| 76 |
+
"epoch": 0.1967799642218247,
|
| 77 |
+
"step": 55
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"loss": 0.6517,
|
| 81 |
+
"grad_norm": 0.6947611570358276,
|
| 82 |
+
"learning_rate": 0.0002999383816358651,
|
| 83 |
+
"epoch": 0.2146690518783542,
|
| 84 |
+
"step": 60
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"loss": 0.7263,
|
| 88 |
+
"grad_norm": 0.5037692785263062,
|
| 89 |
+
"learning_rate": 0.0002999037250141215,
|
| 90 |
+
"epoch": 0.23255813953488372,
|
| 91 |
+
"step": 65
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"loss": 0.6464,
|
| 95 |
+
"grad_norm": 0.35925614833831787,
|
| 96 |
+
"learning_rate": 0.0002998613705463364,
|
| 97 |
+
"epoch": 0.2504472271914132,
|
| 98 |
+
"step": 70
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"loss": 0.6531,
|
| 102 |
+
"grad_norm": 0.7011401653289795,
|
| 103 |
+
"learning_rate": 0.0002998113204074936,
|
| 104 |
+
"epoch": 0.26833631484794274,
|
| 105 |
+
"step": 75
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"loss": 0.6563,
|
| 109 |
+
"grad_norm": 0.29620787501335144,
|
| 110 |
+
"learning_rate": 0.0002997535771677644,
|
| 111 |
+
"epoch": 0.28622540250447226,
|
| 112 |
+
"step": 80
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"loss": 0.6555,
|
| 116 |
+
"grad_norm": 0.24026329815387726,
|
| 117 |
+
"learning_rate": 0.00029968814379237584,
|
| 118 |
+
"epoch": 0.3041144901610018,
|
| 119 |
+
"step": 85
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"loss": 0.6213,
|
| 123 |
+
"grad_norm": 0.17133238911628723,
|
| 124 |
+
"learning_rate": 0.00029961502364145824,
|
| 125 |
+
"epoch": 0.3220035778175313,
|
| 126 |
+
"step": 90
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"loss": 0.6216,
|
| 130 |
+
"grad_norm": 0.24976064264774323,
|
| 131 |
+
"learning_rate": 0.0002995342204698726,
|
| 132 |
+
"epoch": 0.33989266547406083,
|
| 133 |
+
"step": 95
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"loss": 0.6357,
|
| 137 |
+
"grad_norm": 0.527025043964386,
|
| 138 |
+
"learning_rate": 0.00029944573842701806,
|
| 139 |
+
"epoch": 0.35778175313059035,
|
| 140 |
+
"step": 100
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"eval_loss": 0.5987367630004883,
|
| 144 |
+
"eval_runtime": 20.6719,
|
| 145 |
+
"eval_samples_per_second": 162.83,
|
| 146 |
+
"eval_steps_per_second": 10.207,
|
| 147 |
+
"epoch": 0.35778175313059035,
|
| 148 |
+
"step": 100
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"loss": 0.6205,
|
| 152 |
+
"grad_norm": 0.3432077467441559,
|
| 153 |
+
"learning_rate": 0.00029934958205661853,
|
| 154 |
+
"epoch": 0.3756708407871199,
|
| 155 |
+
"step": 105
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"loss": 0.6071,
|
| 159 |
+
"grad_norm": 0.22968943417072296,
|
| 160 |
+
"learning_rate": 0.00029924575629648953,
|
| 161 |
+
"epoch": 0.3935599284436494,
|
| 162 |
+
"step": 110
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"loss": 0.6096,
|
| 166 |
+
"grad_norm": 0.402422696352005,
|
| 167 |
+
"learning_rate": 0.0002991342664782845,
|
| 168 |
+
"epoch": 0.41144901610017887,
|
| 169 |
+
"step": 115
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"loss": 0.597,
|
| 173 |
+
"grad_norm": 0.3375358283519745,
|
| 174 |
+
"learning_rate": 0.00029901511832722104,
|
| 175 |
+
"epoch": 0.4293381037567084,
|
| 176 |
+
"step": 120
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"loss": 0.5821,
|
| 180 |
+
"grad_norm": 0.321890652179718,
|
| 181 |
+
"learning_rate": 0.00029888831796178714,
|
| 182 |
+
"epoch": 0.4472271914132379,
|
| 183 |
+
"step": 125
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"loss": 0.5982,
|
| 187 |
+
"grad_norm": 0.20958741009235382,
|
| 188 |
+
"learning_rate": 0.0002987538718934266,
|
| 189 |
+
"epoch": 0.46511627906976744,
|
| 190 |
+
"step": 130
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"loss": 0.5672,
|
| 194 |
+
"grad_norm": 0.2855433225631714,
|
| 195 |
+
"learning_rate": 0.000298611787026205,
|
| 196 |
+
"epoch": 0.48300536672629696,
|
| 197 |
+
"step": 135
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"loss": 0.5756,
|
| 201 |
+
"grad_norm": 0.3264622688293457,
|
| 202 |
+
"learning_rate": 0.0002984620706564548,
|
| 203 |
+
"epoch": 0.5008944543828264,
|
| 204 |
+
"step": 140
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"loss": 0.5643,
|
| 208 |
+
"grad_norm": 0.3137723505496979,
|
| 209 |
+
"learning_rate": 0.0002983047304724011,
|
| 210 |
+
"epoch": 0.518783542039356,
|
| 211 |
+
"step": 145
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"loss": 0.5854,
|
| 215 |
+
"grad_norm": 0.2823493480682373,
|
| 216 |
+
"learning_rate": 0.00029813977455376634,
|
| 217 |
+
"epoch": 0.5366726296958855,
|
| 218 |
+
"step": 150
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"loss": 0.5702,
|
| 222 |
+
"grad_norm": 0.24358761310577393,
|
| 223 |
+
"learning_rate": 0.00029796721137135597,
|
| 224 |
+
"epoch": 0.554561717352415,
|
| 225 |
+
"step": 155
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"loss": 0.5487,
|
| 229 |
+
"grad_norm": 0.31340864300727844,
|
| 230 |
+
"learning_rate": 0.00029778704978662284,
|
| 231 |
+
"epoch": 0.5724508050089445,
|
| 232 |
+
"step": 160
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"loss": 0.5478,
|
| 236 |
+
"grad_norm": 0.3177396357059479,
|
| 237 |
+
"learning_rate": 0.0002975992990512127,
|
| 238 |
+
"epoch": 0.590339892665474,
|
| 239 |
+
"step": 165
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"loss": 0.5501,
|
| 243 |
+
"grad_norm": 0.3493712842464447,
|
| 244 |
+
"learning_rate": 0.0002974039688064886,
|
| 245 |
+
"epoch": 0.6082289803220036,
|
| 246 |
+
"step": 170
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"loss": 0.5411,
|
| 250 |
+
"grad_norm": 0.2914203107357025,
|
| 251 |
+
"learning_rate": 0.00029720106908303625,
|
| 252 |
+
"epoch": 0.6261180679785331,
|
| 253 |
+
"step": 175
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"loss": 0.5306,
|
| 257 |
+
"grad_norm": 0.29958376288414,
|
| 258 |
+
"learning_rate": 0.0002969906103001486,
|
| 259 |
+
"epoch": 0.6440071556350626,
|
| 260 |
+
"step": 180
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"loss": 0.5304,
|
| 264 |
+
"grad_norm": 0.26977163553237915,
|
| 265 |
+
"learning_rate": 0.00029677260326529107,
|
| 266 |
+
"epoch": 0.6618962432915921,
|
| 267 |
+
"step": 185
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"loss": 0.5231,
|
| 271 |
+
"grad_norm": 0.2629687786102295,
|
| 272 |
+
"learning_rate": 0.0002965470591735462,
|
| 273 |
+
"epoch": 0.6797853309481217,
|
| 274 |
+
"step": 190
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"loss": 0.524,
|
| 278 |
+
"grad_norm": 0.3607335388660431,
|
| 279 |
+
"learning_rate": 0.0002963139896070391,
|
| 280 |
+
"epoch": 0.6976744186046512,
|
| 281 |
+
"step": 195
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"loss": 0.522,
|
| 285 |
+
"grad_norm": 0.36577939987182617,
|
| 286 |
+
"learning_rate": 0.0002960734065343426,
|
| 287 |
+
"epoch": 0.7155635062611807,
|
| 288 |
+
"step": 200
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"eval_loss": 0.5033101439476013,
|
| 292 |
+
"eval_runtime": 20.6749,
|
| 293 |
+
"eval_samples_per_second": 162.806,
|
| 294 |
+
"eval_steps_per_second": 10.206,
|
| 295 |
+
"epoch": 0.7155635062611807,
|
| 296 |
+
"step": 200
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"loss": 0.5033,
|
| 300 |
+
"grad_norm": 0.30699774622917175,
|
| 301 |
+
"learning_rate": 0.00029582532230986244,
|
| 302 |
+
"epoch": 0.7334525939177102,
|
| 303 |
+
"step": 205
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"loss": 0.5037,
|
| 307 |
+
"grad_norm": 0.27759912610054016,
|
| 308 |
+
"learning_rate": 0.0002955697496732031,
|
| 309 |
+
"epoch": 0.7513416815742398,
|
| 310 |
+
"step": 210
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"loss": 0.5085,
|
| 314 |
+
"grad_norm": 0.32028377056121826,
|
| 315 |
+
"learning_rate": 0.0002953067017485136,
|
| 316 |
+
"epoch": 0.7692307692307693,
|
| 317 |
+
"step": 215
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"loss": 0.493,
|
| 321 |
+
"grad_norm": 0.5791727304458618,
|
| 322 |
+
"learning_rate": 0.00029503619204381313,
|
| 323 |
+
"epoch": 0.7871198568872988,
|
| 324 |
+
"step": 220
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"loss": 0.5089,
|
| 328 |
+
"grad_norm": 0.44022566080093384,
|
| 329 |
+
"learning_rate": 0.0002947582344502981,
|
| 330 |
+
"epoch": 0.8050089445438283,
|
| 331 |
+
"step": 225
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"loss": 0.4986,
|
| 335 |
+
"grad_norm": 0.304227739572525,
|
| 336 |
+
"learning_rate": 0.0002944728432416282,
|
| 337 |
+
"epoch": 0.8228980322003577,
|
| 338 |
+
"step": 230
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"loss": 0.4991,
|
| 342 |
+
"grad_norm": 0.2987827956676483,
|
| 343 |
+
"learning_rate": 0.0002941800330731936,
|
| 344 |
+
"epoch": 0.8407871198568873,
|
| 345 |
+
"step": 235
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"loss": 0.4798,
|
| 349 |
+
"grad_norm": 0.32087433338165283,
|
| 350 |
+
"learning_rate": 0.0002938798189813625,
|
| 351 |
+
"epoch": 0.8586762075134168,
|
| 352 |
+
"step": 240
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"loss": 0.4839,
|
| 356 |
+
"grad_norm": 0.354798287153244,
|
| 357 |
+
"learning_rate": 0.0002935722163827087,
|
| 358 |
+
"epoch": 0.8765652951699463,
|
| 359 |
+
"step": 245
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"loss": 0.4874,
|
| 363 |
+
"grad_norm": 0.5133390426635742,
|
| 364 |
+
"learning_rate": 0.0002932572410732204,
|
| 365 |
+
"epoch": 0.8944543828264758,
|
| 366 |
+
"step": 250
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"loss": 0.4749,
|
| 370 |
+
"grad_norm": 0.3183499574661255,
|
| 371 |
+
"learning_rate": 0.00029293490922748856,
|
| 372 |
+
"epoch": 0.9123434704830053,
|
| 373 |
+
"step": 255
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"loss": 0.471,
|
| 377 |
+
"grad_norm": 0.3271007537841797,
|
| 378 |
+
"learning_rate": 0.0002926052373978764,
|
| 379 |
+
"epoch": 0.9302325581395349,
|
| 380 |
+
"step": 260
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"loss": 0.459,
|
| 384 |
+
"grad_norm": 1.1660605669021606,
|
| 385 |
+
"learning_rate": 0.00029226824251366967,
|
| 386 |
+
"epoch": 0.9481216457960644,
|
| 387 |
+
"step": 265
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"loss": 0.4369,
|
| 391 |
+
"grad_norm": 0.48370498418807983,
|
| 392 |
+
"learning_rate": 0.00029192394188020716,
|
| 393 |
+
"epoch": 0.9660107334525939,
|
| 394 |
+
"step": 270
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"loss": 0.443,
|
| 398 |
+
"grad_norm": 0.3688034117221832,
|
| 399 |
+
"learning_rate": 0.0002915723531779919,
|
| 400 |
+
"epoch": 0.9838998211091234,
|
| 401 |
+
"step": 275
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"loss": 0.4541,
|
| 405 |
+
"grad_norm": 0.7489350438117981,
|
| 406 |
+
"learning_rate": 0.00029121349446178333,
|
| 407 |
+
"epoch": 1.0,
|
| 408 |
+
"step": 280
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"loss": 0.4349,
|
| 412 |
+
"grad_norm": 0.3898984491825104,
|
| 413 |
+
"learning_rate": 0.00029084738415967017,
|
| 414 |
+
"epoch": 1.0178890876565294,
|
| 415 |
+
"step": 285
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"loss": 0.4455,
|
| 419 |
+
"grad_norm": 0.488726407289505,
|
| 420 |
+
"learning_rate": 0.0002904740410721242,
|
| 421 |
+
"epoch": 1.035778175313059,
|
| 422 |
+
"step": 290
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"loss": 0.4431,
|
| 426 |
+
"grad_norm": 0.4695197641849518,
|
| 427 |
+
"learning_rate": 0.00029009348437103455,
|
| 428 |
+
"epoch": 1.0536672629695885,
|
| 429 |
+
"step": 295
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"loss": 0.4223,
|
| 433 |
+
"grad_norm": 0.3967965543270111,
|
| 434 |
+
"learning_rate": 0.0002897057335987235,
|
| 435 |
+
"epoch": 1.071556350626118,
|
| 436 |
+
"step": 300
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"eval_loss": 0.4258047640323639,
|
| 440 |
+
"eval_runtime": 20.6743,
|
| 441 |
+
"eval_samples_per_second": 162.811,
|
| 442 |
+
"eval_steps_per_second": 10.206,
|
| 443 |
+
"epoch": 1.071556350626118,
|
| 444 |
+
"step": 300
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"loss": 0.4262,
|
| 448 |
+
"grad_norm": 0.502098023891449,
|
| 449 |
+
"learning_rate": 0.00028931080866694274,
|
| 450 |
+
"epoch": 1.0894454382826475,
|
| 451 |
+
"step": 305
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"loss": 0.4155,
|
| 455 |
+
"grad_norm": 0.3177882134914398,
|
| 456 |
+
"learning_rate": 0.0002889087298558508,
|
| 457 |
+
"epoch": 1.1073345259391771,
|
| 458 |
+
"step": 310
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"loss": 0.4151,
|
| 462 |
+
"grad_norm": 0.39488786458969116,
|
| 463 |
+
"learning_rate": 0.0002884995178129719,
|
| 464 |
+
"epoch": 1.1252236135957066,
|
| 465 |
+
"step": 315
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"loss": 0.4025,
|
| 469 |
+
"grad_norm": 0.5109437704086304,
|
| 470 |
+
"learning_rate": 0.0002880831935521355,
|
| 471 |
+
"epoch": 1.1431127012522362,
|
| 472 |
+
"step": 320
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"loss": 0.4054,
|
| 476 |
+
"grad_norm": 0.5653850436210632,
|
| 477 |
+
"learning_rate": 0.00028765977845239706,
|
| 478 |
+
"epoch": 1.1610017889087656,
|
| 479 |
+
"step": 325
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"loss": 0.3982,
|
| 483 |
+
"grad_norm": 0.7002792358398438,
|
| 484 |
+
"learning_rate": 0.00028722929425694044,
|
| 485 |
+
"epoch": 1.1788908765652952,
|
| 486 |
+
"step": 330
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"loss": 0.4375,
|
| 490 |
+
"grad_norm": 0.33770787715911865,
|
| 491 |
+
"learning_rate": 0.0002867917630719612,
|
| 492 |
+
"epoch": 1.1967799642218246,
|
| 493 |
+
"step": 335
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"loss": 0.4053,
|
| 497 |
+
"grad_norm": 0.4120868444442749,
|
| 498 |
+
"learning_rate": 0.00028634720736553143,
|
| 499 |
+
"epoch": 1.2146690518783543,
|
| 500 |
+
"step": 340
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"loss": 0.411,
|
| 504 |
+
"grad_norm": 0.4081322252750397,
|
| 505 |
+
"learning_rate": 0.00028589564996644594,
|
| 506 |
+
"epoch": 1.2325581395348837,
|
| 507 |
+
"step": 345
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"loss": 0.4167,
|
| 511 |
+
"grad_norm": 0.6889946460723877,
|
| 512 |
+
"learning_rate": 0.0002854371140630501,
|
| 513 |
+
"epoch": 1.250447227191413,
|
| 514 |
+
"step": 350
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"loss": 0.4196,
|
| 518 |
+
"grad_norm": 0.3247791826725006,
|
| 519 |
+
"learning_rate": 0.00028497162320204885,
|
| 520 |
+
"epoch": 1.2683363148479427,
|
| 521 |
+
"step": 355
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"loss": 0.4091,
|
| 525 |
+
"grad_norm": 0.41395092010498047,
|
| 526 |
+
"learning_rate": 0.00028449920128729766,
|
| 527 |
+
"epoch": 1.2862254025044724,
|
| 528 |
+
"step": 360
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"loss": 0.3958,
|
| 532 |
+
"grad_norm": 0.3653516173362732,
|
| 533 |
+
"learning_rate": 0.00028401987257857514,
|
| 534 |
+
"epoch": 1.3041144901610018,
|
| 535 |
+
"step": 365
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"loss": 0.3898,
|
| 539 |
+
"grad_norm": 0.3595719337463379,
|
| 540 |
+
"learning_rate": 0.0002835336616903369,
|
| 541 |
+
"epoch": 1.3220035778175312,
|
| 542 |
+
"step": 370
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"loss": 0.3604,
|
| 546 |
+
"grad_norm": 0.7938292622566223,
|
| 547 |
+
"learning_rate": 0.000283040593590452,
|
| 548 |
+
"epoch": 1.3398926654740608,
|
| 549 |
+
"step": 375
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"loss": 0.382,
|
| 553 |
+
"grad_norm": 0.562586784362793,
|
| 554 |
+
"learning_rate": 0.00028254069359892034,
|
| 555 |
+
"epoch": 1.3577817531305905,
|
| 556 |
+
"step": 380
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"loss": 0.385,
|
| 560 |
+
"grad_norm": 0.29362237453460693,
|
| 561 |
+
"learning_rate": 0.0002820339873865729,
|
| 562 |
+
"epoch": 1.3756708407871199,
|
| 563 |
+
"step": 385
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"loss": 0.3776,
|
| 567 |
+
"grad_norm": 0.38946282863616943,
|
| 568 |
+
"learning_rate": 0.00028152050097375304,
|
| 569 |
+
"epoch": 1.3935599284436493,
|
| 570 |
+
"step": 390
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"loss": 0.3756,
|
| 574 |
+
"grad_norm": 0.3675141930580139,
|
| 575 |
+
"learning_rate": 0.00028100026072898067,
|
| 576 |
+
"epoch": 1.411449016100179,
|
| 577 |
+
"step": 395
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"loss": 0.3627,
|
| 581 |
+
"grad_norm": 0.4281761050224304,
|
| 582 |
+
"learning_rate": 0.00028047329336759806,
|
| 583 |
+
"epoch": 1.4293381037567083,
|
| 584 |
+
"step": 400
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"eval_loss": 0.3722744286060333,
|
| 588 |
+
"eval_runtime": 20.6775,
|
| 589 |
+
"eval_samples_per_second": 162.785,
|
| 590 |
+
"eval_steps_per_second": 10.204,
|
| 591 |
+
"epoch": 1.4293381037567083,
|
| 592 |
+
"step": 400
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"loss": 0.3637,
|
| 596 |
+
"grad_norm": 0.3468483090400696,
|
| 597 |
+
"learning_rate": 0.0002799396259503977,
|
| 598 |
+
"epoch": 1.447227191413238,
|
| 599 |
+
"step": 405
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"loss": 0.3729,
|
| 603 |
+
"grad_norm": 0.4413630962371826,
|
| 604 |
+
"learning_rate": 0.00027939928588223314,
|
| 605 |
+
"epoch": 1.4651162790697674,
|
| 606 |
+
"step": 410
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"loss": 0.3511,
|
| 610 |
+
"grad_norm": 0.41624078154563904,
|
| 611 |
+
"learning_rate": 0.00027885230091061127,
|
| 612 |
+
"epoch": 1.483005366726297,
|
| 613 |
+
"step": 415
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"loss": 0.3599,
|
| 617 |
+
"grad_norm": 0.42356589436531067,
|
| 618 |
+
"learning_rate": 0.00027829869912426777,
|
| 619 |
+
"epoch": 1.5008944543828264,
|
| 620 |
+
"step": 420
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"loss": 0.3586,
|
| 624 |
+
"grad_norm": 0.4348715543746948,
|
| 625 |
+
"learning_rate": 0.0002777385089517244,
|
| 626 |
+
"epoch": 1.518783542039356,
|
| 627 |
+
"step": 425
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"loss": 0.3487,
|
| 631 |
+
"grad_norm": 0.5163382291793823,
|
| 632 |
+
"learning_rate": 0.00027717175915982945,
|
| 633 |
+
"epoch": 1.5366726296958855,
|
| 634 |
+
"step": 430
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"loss": 0.3551,
|
| 638 |
+
"grad_norm": 0.47645968198776245,
|
| 639 |
+
"learning_rate": 0.0002765984788522801,
|
| 640 |
+
"epoch": 1.5545617173524149,
|
| 641 |
+
"step": 435
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"loss": 0.3523,
|
| 645 |
+
"grad_norm": 0.5956697463989258,
|
| 646 |
+
"learning_rate": 0.0002760186974681285,
|
| 647 |
+
"epoch": 1.5724508050089445,
|
| 648 |
+
"step": 440
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"loss": 0.3842,
|
| 652 |
+
"grad_norm": 0.3199741244316101,
|
| 653 |
+
"learning_rate": 0.0002754324447802693,
|
| 654 |
+
"epoch": 1.5903398926654742,
|
| 655 |
+
"step": 445
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"loss": 0.363,
|
| 659 |
+
"grad_norm": 0.4985601007938385,
|
| 660 |
+
"learning_rate": 0.00027483975089391126,
|
| 661 |
+
"epoch": 1.6082289803220036,
|
| 662 |
+
"step": 450
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"loss": 0.3573,
|
| 666 |
+
"grad_norm": 0.43190059065818787,
|
| 667 |
+
"learning_rate": 0.0002742406462450311,
|
| 668 |
+
"epoch": 1.626118067978533,
|
| 669 |
+
"step": 455
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"loss": 0.3399,
|
| 673 |
+
"grad_norm": 0.3566244840621948,
|
| 674 |
+
"learning_rate": 0.00027363516159881066,
|
| 675 |
+
"epoch": 1.6440071556350626,
|
| 676 |
+
"step": 460
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"loss": 0.3465,
|
| 680 |
+
"grad_norm": 0.4065592586994171,
|
| 681 |
+
"learning_rate": 0.0002730233280480569,
|
| 682 |
+
"epoch": 1.6618962432915922,
|
| 683 |
+
"step": 465
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"loss": 0.3324,
|
| 687 |
+
"grad_norm": 0.36722782254219055,
|
| 688 |
+
"learning_rate": 0.0002724051770116052,
|
| 689 |
+
"epoch": 1.6797853309481217,
|
| 690 |
+
"step": 470
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"loss": 0.325,
|
| 694 |
+
"grad_norm": 0.3565702736377716,
|
| 695 |
+
"learning_rate": 0.00027178074023270635,
|
| 696 |
+
"epoch": 1.697674418604651,
|
| 697 |
+
"step": 475
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"loss": 0.3679,
|
| 701 |
+
"grad_norm": 0.5317059755325317,
|
| 702 |
+
"learning_rate": 0.00027115004977739586,
|
| 703 |
+
"epoch": 1.7155635062611807,
|
| 704 |
+
"step": 480
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"loss": 0.3433,
|
| 708 |
+
"grad_norm": 0.30274462699890137,
|
| 709 |
+
"learning_rate": 0.00027051313803284774,
|
| 710 |
+
"epoch": 1.7334525939177103,
|
| 711 |
+
"step": 485
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"loss": 0.3492,
|
| 715 |
+
"grad_norm": 4.536398887634277,
|
| 716 |
+
"learning_rate": 0.00026987003770571124,
|
| 717 |
+
"epoch": 1.7513416815742398,
|
| 718 |
+
"step": 490
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"loss": 0.3506,
|
| 722 |
+
"grad_norm": 0.4281180202960968,
|
| 723 |
+
"learning_rate": 0.0002692207818204313,
|
| 724 |
+
"epoch": 1.7692307692307692,
|
| 725 |
+
"step": 495
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"loss": 0.3417,
|
| 729 |
+
"grad_norm": 0.3851430416107178,
|
| 730 |
+
"learning_rate": 0.0002685654037175525,
|
| 731 |
+
"epoch": 1.7871198568872988,
|
| 732 |
+
"step": 500
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"eval_loss": 0.3463773727416992,
|
| 736 |
+
"eval_runtime": 20.6737,
|
| 737 |
+
"eval_samples_per_second": 162.815,
|
| 738 |
+
"eval_steps_per_second": 10.206,
|
| 739 |
+
"epoch": 1.7871198568872988,
|
| 740 |
+
"step": 500
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"loss": 0.3287,
|
| 744 |
+
"grad_norm": 0.41302162408828735,
|
| 745 |
+
"learning_rate": 0.0002679039370520074,
|
| 746 |
+
"epoch": 1.8050089445438284,
|
| 747 |
+
"step": 505
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"loss": 0.3292,
|
| 751 |
+
"grad_norm": 0.3512372076511383,
|
| 752 |
+
"learning_rate": 0.00026723641579138777,
|
| 753 |
+
"epoch": 1.8228980322003578,
|
| 754 |
+
"step": 510
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"loss": 0.3241,
|
| 758 |
+
"grad_norm": 0.4498589336872101,
|
| 759 |
+
"learning_rate": 0.0002665628742142008,
|
| 760 |
+
"epoch": 1.8407871198568873,
|
| 761 |
+
"step": 515
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"loss": 0.3302,
|
| 765 |
+
"grad_norm": 0.532430112361908,
|
| 766 |
+
"learning_rate": 0.0002658833469081082,
|
| 767 |
+
"epoch": 1.8586762075134167,
|
| 768 |
+
"step": 520
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"loss": 0.3254,
|
| 772 |
+
"grad_norm": 0.40190622210502625,
|
| 773 |
+
"learning_rate": 0.0002651978687681509,
|
| 774 |
+
"epoch": 1.8765652951699463,
|
| 775 |
+
"step": 525
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"loss": 0.3212,
|
| 779 |
+
"grad_norm": 0.4508027732372284,
|
| 780 |
+
"learning_rate": 0.00026450647499495626,
|
| 781 |
+
"epoch": 1.894454382826476,
|
| 782 |
+
"step": 530
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"loss": 0.3191,
|
| 786 |
+
"grad_norm": 0.48150140047073364,
|
| 787 |
+
"learning_rate": 0.00026380920109293104,
|
| 788 |
+
"epoch": 1.9123434704830053,
|
| 789 |
+
"step": 535
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"loss": 0.3374,
|
| 793 |
+
"grad_norm": 0.34987515211105347,
|
| 794 |
+
"learning_rate": 0.00026310608286843795,
|
| 795 |
+
"epoch": 1.9302325581395348,
|
| 796 |
+
"step": 540
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"loss": 0.3193,
|
| 800 |
+
"grad_norm": 0.2754597067832947,
|
| 801 |
+
"learning_rate": 0.00026239715642795684,
|
| 802 |
+
"epoch": 1.9481216457960644,
|
| 803 |
+
"step": 545
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"loss": 0.3276,
|
| 807 |
+
"grad_norm": 0.35444873571395874,
|
| 808 |
+
"learning_rate": 0.00026168245817623085,
|
| 809 |
+
"epoch": 1.966010733452594,
|
| 810 |
+
"step": 550
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"loss": 0.3028,
|
| 814 |
+
"grad_norm": 0.3781956434249878,
|
| 815 |
+
"learning_rate": 0.00026096202481439674,
|
| 816 |
+
"epoch": 1.9838998211091234,
|
| 817 |
+
"step": 555
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"loss": 0.3163,
|
| 821 |
+
"grad_norm": 0.43553584814071655,
|
| 822 |
+
"learning_rate": 0.00026023589333810015,
|
| 823 |
+
"epoch": 2.0,
|
| 824 |
+
"step": 560
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"loss": 0.3041,
|
| 828 |
+
"grad_norm": 0.3745397627353668,
|
| 829 |
+
"learning_rate": 0.00025950410103559604,
|
| 830 |
+
"epoch": 2.0178890876565294,
|
| 831 |
+
"step": 565
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"loss": 0.314,
|
| 835 |
+
"grad_norm": 0.4507661759853363,
|
| 836 |
+
"learning_rate": 0.00025876668548583374,
|
| 837 |
+
"epoch": 2.035778175313059,
|
| 838 |
+
"step": 570
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"loss": 0.2911,
|
| 842 |
+
"grad_norm": 0.45311978459358215,
|
| 843 |
+
"learning_rate": 0.00025802368455652704,
|
| 844 |
+
"epoch": 2.0536672629695887,
|
| 845 |
+
"step": 575
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"loss": 0.2791,
|
| 849 |
+
"grad_norm": 0.3784424066543579,
|
| 850 |
+
"learning_rate": 0.00025727513640220985,
|
| 851 |
+
"epoch": 2.071556350626118,
|
| 852 |
+
"step": 580
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"loss": 0.2781,
|
| 856 |
+
"grad_norm": 0.37560757994651794,
|
| 857 |
+
"learning_rate": 0.000256521079462277,
|
| 858 |
+
"epoch": 2.0894454382826475,
|
| 859 |
+
"step": 585
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"loss": 0.2705,
|
| 863 |
+
"grad_norm": 0.4536455571651459,
|
| 864 |
+
"learning_rate": 0.0002557615524590097,
|
| 865 |
+
"epoch": 2.107334525939177,
|
| 866 |
+
"step": 590
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"loss": 0.2845,
|
| 870 |
+
"grad_norm": 0.8856727480888367,
|
| 871 |
+
"learning_rate": 0.000254996594395588,
|
| 872 |
+
"epoch": 2.1252236135957068,
|
| 873 |
+
"step": 595
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"loss": 0.2894,
|
| 877 |
+
"grad_norm": 0.5242048501968384,
|
| 878 |
+
"learning_rate": 0.00025422624455408686,
|
| 879 |
+
"epoch": 2.143112701252236,
|
| 880 |
+
"step": 600
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"eval_loss": 0.33662545680999756,
|
| 884 |
+
"eval_runtime": 20.6734,
|
| 885 |
+
"eval_samples_per_second": 162.818,
|
| 886 |
+
"eval_steps_per_second": 10.206,
|
| 887 |
+
"epoch": 2.143112701252236,
|
| 888 |
+
"step": 600
|
| 889 |
+
},
|
| 890 |
+
{
|
| 891 |
+
"loss": 0.2955,
|
| 892 |
+
"grad_norm": 0.37391841411590576,
|
| 893 |
+
"learning_rate": 0.0002534505424934599,
|
| 894 |
+
"epoch": 2.1610017889087656,
|
| 895 |
+
"step": 605
|
| 896 |
+
},
|
| 897 |
+
{
|
| 898 |
+
"loss": 0.2869,
|
| 899 |
+
"grad_norm": 0.3889912962913513,
|
| 900 |
+
"learning_rate": 0.00025266952804750727,
|
| 901 |
+
"epoch": 2.178890876565295,
|
| 902 |
+
"step": 610
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"loss": 0.2805,
|
| 906 |
+
"grad_norm": 0.37954917550086975,
|
| 907 |
+
"learning_rate": 0.0002518832413228304,
|
| 908 |
+
"epoch": 2.196779964221825,
|
| 909 |
+
"step": 615
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"loss": 0.2834,
|
| 913 |
+
"grad_norm": 0.3385255038738251,
|
| 914 |
+
"learning_rate": 0.00025109172269677265,
|
| 915 |
+
"epoch": 2.2146690518783543,
|
| 916 |
+
"step": 620
|
| 917 |
+
},
|
| 918 |
+
{
|
| 919 |
+
"loss": 0.2741,
|
| 920 |
+
"grad_norm": 0.33614033460617065,
|
| 921 |
+
"learning_rate": 0.00025029501281534534,
|
| 922 |
+
"epoch": 2.2325581395348837,
|
| 923 |
+
"step": 625
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"loss": 0.2803,
|
| 927 |
+
"grad_norm": 0.4882681369781494,
|
| 928 |
+
"learning_rate": 0.00024949315259114094,
|
| 929 |
+
"epoch": 2.250447227191413,
|
| 930 |
+
"step": 630
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"loss": 0.305,
|
| 934 |
+
"grad_norm": 0.39836975932121277,
|
| 935 |
+
"learning_rate": 0.00024868618320123193,
|
| 936 |
+
"epoch": 2.268336314847943,
|
| 937 |
+
"step": 635
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"loss": 0.2794,
|
| 941 |
+
"grad_norm": 0.30090266466140747,
|
| 942 |
+
"learning_rate": 0.00024787414608505636,
|
| 943 |
+
"epoch": 2.2862254025044724,
|
| 944 |
+
"step": 640
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"loss": 0.2923,
|
| 948 |
+
"grad_norm": 0.40115466713905334,
|
| 949 |
+
"learning_rate": 0.0002470570829422898,
|
| 950 |
+
"epoch": 2.304114490161002,
|
| 951 |
+
"step": 645
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"loss": 0.2752,
|
| 955 |
+
"grad_norm": 0.35384082794189453,
|
| 956 |
+
"learning_rate": 0.00024623503573070407,
|
| 957 |
+
"epoch": 2.322003577817531,
|
| 958 |
+
"step": 650
|
| 959 |
+
},
|
| 960 |
+
{
|
| 961 |
+
"loss": 0.2647,
|
| 962 |
+
"grad_norm": 0.5324997901916504,
|
| 963 |
+
"learning_rate": 0.00024540804666401235,
|
| 964 |
+
"epoch": 2.3398926654740606,
|
| 965 |
+
"step": 655
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"loss": 0.2667,
|
| 969 |
+
"grad_norm": 0.3377424478530884,
|
| 970 |
+
"learning_rate": 0.00024457615820970194,
|
| 971 |
+
"epoch": 2.3577817531305905,
|
| 972 |
+
"step": 660
|
| 973 |
+
},
|
| 974 |
+
{
|
| 975 |
+
"loss": 0.273,
|
| 976 |
+
"grad_norm": 0.3497815728187561,
|
| 977 |
+
"learning_rate": 0.0002437394130868529,
|
| 978 |
+
"epoch": 2.37567084078712,
|
| 979 |
+
"step": 665
|
| 980 |
+
},
|
| 981 |
+
{
|
| 982 |
+
"loss": 0.2674,
|
| 983 |
+
"grad_norm": 0.4024289548397064,
|
| 984 |
+
"learning_rate": 0.00024289785426394471,
|
| 985 |
+
"epoch": 2.3935599284436493,
|
| 986 |
+
"step": 670
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"loss": 0.2552,
|
| 990 |
+
"grad_norm": 0.2747831642627716,
|
| 991 |
+
"learning_rate": 0.00024205152495664965,
|
| 992 |
+
"epoch": 2.4114490161001787,
|
| 993 |
+
"step": 675
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"loss": 0.2775,
|
| 997 |
+
"grad_norm": 0.5090282559394836,
|
| 998 |
+
"learning_rate": 0.00024120046862561364,
|
| 999 |
+
"epoch": 2.4293381037567086,
|
| 1000 |
+
"step": 680
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"loss": 0.2638,
|
| 1004 |
+
"grad_norm": 0.423360675573349,
|
| 1005 |
+
"learning_rate": 0.0002403447289742243,
|
| 1006 |
+
"epoch": 2.447227191413238,
|
| 1007 |
+
"step": 685
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"loss": 0.2629,
|
| 1011 |
+
"grad_norm": 0.3922378122806549,
|
| 1012 |
+
"learning_rate": 0.0002394843499463669,
|
| 1013 |
+
"epoch": 2.4651162790697674,
|
| 1014 |
+
"step": 690
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"loss": 0.2642,
|
| 1018 |
+
"grad_norm": 0.381626158952713,
|
| 1019 |
+
"learning_rate": 0.00023861937572416757,
|
| 1020 |
+
"epoch": 2.483005366726297,
|
| 1021 |
+
"step": 695
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"loss": 0.2741,
|
| 1025 |
+
"grad_norm": 0.41004201769828796,
|
| 1026 |
+
"learning_rate": 0.0002377498507257247,
|
| 1027 |
+
"epoch": 2.500894454382826,
|
| 1028 |
+
"step": 700
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"eval_loss": 0.3169912099838257,
|
| 1032 |
+
"eval_runtime": 20.6812,
|
| 1033 |
+
"eval_samples_per_second": 162.756,
|
| 1034 |
+
"eval_steps_per_second": 10.202,
|
| 1035 |
+
"epoch": 2.500894454382826,
|
| 1036 |
+
"step": 700
|
| 1037 |
+
},
|
| 1038 |
+
{
|
| 1039 |
+
"loss": 0.2669,
|
| 1040 |
+
"grad_norm": 0.36008498072624207,
|
| 1041 |
+
"learning_rate": 0.00023687581960282763,
|
| 1042 |
+
"epoch": 2.518783542039356,
|
| 1043 |
+
"step": 705
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"loss": 0.2529,
|
| 1047 |
+
"grad_norm": 0.47046661376953125,
|
| 1048 |
+
"learning_rate": 0.00023599732723866414,
|
| 1049 |
+
"epoch": 2.5366726296958855,
|
| 1050 |
+
"step": 710
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"loss": 0.2882,
|
| 1054 |
+
"grad_norm": 0.6661579012870789,
|
| 1055 |
+
"learning_rate": 0.00023511441874551512,
|
| 1056 |
+
"epoch": 2.554561717352415,
|
| 1057 |
+
"step": 715
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"loss": 0.2805,
|
| 1061 |
+
"grad_norm": 0.3578526973724365,
|
| 1062 |
+
"learning_rate": 0.00023422713946243842,
|
| 1063 |
+
"epoch": 2.5724508050089447,
|
| 1064 |
+
"step": 720
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"loss": 0.2615,
|
| 1068 |
+
"grad_norm": 0.42732375860214233,
|
| 1069 |
+
"learning_rate": 0.0002333355349529403,
|
| 1070 |
+
"epoch": 2.590339892665474,
|
| 1071 |
+
"step": 725
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"loss": 0.2635,
|
| 1075 |
+
"grad_norm": 0.3077392876148224,
|
| 1076 |
+
"learning_rate": 0.0002324396510026358,
|
| 1077 |
+
"epoch": 2.6082289803220036,
|
| 1078 |
+
"step": 730
|
| 1079 |
+
},
|
| 1080 |
+
{
|
| 1081 |
+
"loss": 0.2575,
|
| 1082 |
+
"grad_norm": 0.3254878520965576,
|
| 1083 |
+
"learning_rate": 0.00023153953361689753,
|
| 1084 |
+
"epoch": 2.626118067978533,
|
| 1085 |
+
"step": 735
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"loss": 0.2539,
|
| 1089 |
+
"grad_norm": 0.3971039056777954,
|
| 1090 |
+
"learning_rate": 0.00023063522901849303,
|
| 1091 |
+
"epoch": 2.6440071556350624,
|
| 1092 |
+
"step": 740
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"loss": 0.2675,
|
| 1096 |
+
"grad_norm": 0.36017006635665894,
|
| 1097 |
+
"learning_rate": 0.00022972678364521155,
|
| 1098 |
+
"epoch": 2.6618962432915922,
|
| 1099 |
+
"step": 745
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"loss": 0.2752,
|
| 1103 |
+
"grad_norm": 0.3148644268512726,
|
| 1104 |
+
"learning_rate": 0.00022881424414747902,
|
| 1105 |
+
"epoch": 2.6797853309481217,
|
| 1106 |
+
"step": 750
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"loss": 0.257,
|
| 1110 |
+
"grad_norm": 0.46191850304603577,
|
| 1111 |
+
"learning_rate": 0.00022789765738596258,
|
| 1112 |
+
"epoch": 2.697674418604651,
|
| 1113 |
+
"step": 755
|
| 1114 |
+
},
|
| 1115 |
+
{
|
| 1116 |
+
"loss": 0.2602,
|
| 1117 |
+
"grad_norm": 0.5142350792884827,
|
| 1118 |
+
"learning_rate": 0.00022697707042916413,
|
| 1119 |
+
"epoch": 2.715563506261181,
|
| 1120 |
+
"step": 760
|
| 1121 |
+
},
|
| 1122 |
+
{
|
| 1123 |
+
"loss": 0.2619,
|
| 1124 |
+
"grad_norm": 0.4233485162258148,
|
| 1125 |
+
"learning_rate": 0.00022605253055100346,
|
| 1126 |
+
"epoch": 2.7334525939177103,
|
| 1127 |
+
"step": 765
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
"loss": 0.2699,
|
| 1131 |
+
"grad_norm": 0.36081498861312866,
|
| 1132 |
+
"learning_rate": 0.00022512408522839034,
|
| 1133 |
+
"epoch": 2.7513416815742398,
|
| 1134 |
+
"step": 770
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"loss": 0.2589,
|
| 1138 |
+
"grad_norm": 0.3283044695854187,
|
| 1139 |
+
"learning_rate": 0.0002241917821387868,
|
| 1140 |
+
"epoch": 2.769230769230769,
|
| 1141 |
+
"step": 775
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"loss": 0.2569,
|
| 1145 |
+
"grad_norm": 0.36509019136428833,
|
| 1146 |
+
"learning_rate": 0.00022325566915775872,
|
| 1147 |
+
"epoch": 2.7871198568872986,
|
| 1148 |
+
"step": 780
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"loss": 0.2631,
|
| 1152 |
+
"grad_norm": 0.30786919593811035,
|
| 1153 |
+
"learning_rate": 0.000222315794356517,
|
| 1154 |
+
"epoch": 2.8050089445438284,
|
| 1155 |
+
"step": 785
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"loss": 0.2596,
|
| 1159 |
+
"grad_norm": 0.26746758818626404,
|
| 1160 |
+
"learning_rate": 0.0002213722059994496,
|
| 1161 |
+
"epoch": 2.822898032200358,
|
| 1162 |
+
"step": 790
|
| 1163 |
+
},
|
| 1164 |
+
{
|
| 1165 |
+
"loss": 0.2462,
|
| 1166 |
+
"grad_norm": 0.3422580659389496,
|
| 1167 |
+
"learning_rate": 0.00022042495254164248,
|
| 1168 |
+
"epoch": 2.8407871198568873,
|
| 1169 |
+
"step": 795
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"loss": 0.2604,
|
| 1173 |
+
"grad_norm": 0.3908096253871918,
|
| 1174 |
+
"learning_rate": 0.0002194740826263918,
|
| 1175 |
+
"epoch": 2.8586762075134167,
|
| 1176 |
+
"step": 800
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"eval_loss": 0.31991705298423767,
|
| 1180 |
+
"eval_runtime": 20.6861,
|
| 1181 |
+
"eval_samples_per_second": 162.718,
|
| 1182 |
+
"eval_steps_per_second": 10.2,
|
| 1183 |
+
"epoch": 2.8586762075134167,
|
| 1184 |
+
"step": 800
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"loss": 0.259,
|
| 1188 |
+
"grad_norm": 0.3868574798107147,
|
| 1189 |
+
"learning_rate": 0.00021851964508270573,
|
| 1190 |
+
"epoch": 2.8765652951699465,
|
| 1191 |
+
"step": 805
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"loss": 0.2627,
|
| 1195 |
+
"grad_norm": 0.3655846416950226,
|
| 1196 |
+
"learning_rate": 0.00021756168892279705,
|
| 1197 |
+
"epoch": 2.894454382826476,
|
| 1198 |
+
"step": 810
|
| 1199 |
+
},
|
| 1200 |
+
{
|
| 1201 |
+
"loss": 0.249,
|
| 1202 |
+
"grad_norm": 0.6286638379096985,
|
| 1203 |
+
"learning_rate": 0.00021660026333956625,
|
| 1204 |
+
"epoch": 2.9123434704830053,
|
| 1205 |
+
"step": 815
|
| 1206 |
+
},
|
| 1207 |
+
{
|
| 1208 |
+
"loss": 0.2517,
|
| 1209 |
+
"grad_norm": 0.5203955769538879,
|
| 1210 |
+
"learning_rate": 0.0002156354177040755,
|
| 1211 |
+
"epoch": 2.9302325581395348,
|
| 1212 |
+
"step": 820
|
| 1213 |
+
},
|
| 1214 |
+
{
|
| 1215 |
+
"loss": 0.2665,
|
| 1216 |
+
"grad_norm": 0.38546180725097656,
|
| 1217 |
+
"learning_rate": 0.00021466720156301314,
|
| 1218 |
+
"epoch": 2.948121645796064,
|
| 1219 |
+
"step": 825
|
| 1220 |
+
},
|
| 1221 |
+
{
|
| 1222 |
+
"loss": 0.2651,
|
| 1223 |
+
"grad_norm": 0.3447847366333008,
|
| 1224 |
+
"learning_rate": 0.00021369566463614968,
|
| 1225 |
+
"epoch": 2.966010733452594,
|
| 1226 |
+
"step": 830
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"loss": 0.2494,
|
| 1230 |
+
"grad_norm": 0.6365504264831543,
|
| 1231 |
+
"learning_rate": 0.00021272085681378418,
|
| 1232 |
+
"epoch": 2.9838998211091234,
|
| 1233 |
+
"step": 835
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"loss": 0.2448,
|
| 1237 |
+
"grad_norm": 0.6940473914146423,
|
| 1238 |
+
"learning_rate": 0.0002117428281541827,
|
| 1239 |
+
"epoch": 3.0,
|
| 1240 |
+
"step": 840
|
| 1241 |
+
},
|
| 1242 |
+
{
|
| 1243 |
+
"loss": 0.1991,
|
| 1244 |
+
"grad_norm": 0.3761572539806366,
|
| 1245 |
+
"learning_rate": 0.00021076162888100734,
|
| 1246 |
+
"epoch": 3.0178890876565294,
|
| 1247 |
+
"step": 845
|
| 1248 |
+
},
|
| 1249 |
+
{
|
| 1250 |
+
"loss": 0.1976,
|
| 1251 |
+
"grad_norm": 0.3070697784423828,
|
| 1252 |
+
"learning_rate": 0.00020977730938073747,
|
| 1253 |
+
"epoch": 3.035778175313059,
|
| 1254 |
+
"step": 850
|
| 1255 |
+
},
|
| 1256 |
+
{
|
| 1257 |
+
"loss": 0.188,
|
| 1258 |
+
"grad_norm": 0.5102139115333557,
|
| 1259 |
+
"learning_rate": 0.0002087899202000821,
|
| 1260 |
+
"epoch": 3.0536672629695887,
|
| 1261 |
+
"step": 855
|
| 1262 |
+
},
|
| 1263 |
+
{
|
| 1264 |
+
"loss": 0.2003,
|
| 1265 |
+
"grad_norm": 0.4111884534358978,
|
| 1266 |
+
"learning_rate": 0.00020779951204338422,
|
| 1267 |
+
"epoch": 3.071556350626118,
|
| 1268 |
+
"step": 860
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"loss": 0.1914,
|
| 1272 |
+
"grad_norm": 0.46625199913978577,
|
| 1273 |
+
"learning_rate": 0.00020680613577001724,
|
| 1274 |
+
"epoch": 3.0894454382826475,
|
| 1275 |
+
"step": 865
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"loss": 0.2037,
|
| 1279 |
+
"grad_norm": 0.4094313383102417,
|
| 1280 |
+
"learning_rate": 0.0002058098423917729,
|
| 1281 |
+
"epoch": 3.107334525939177,
|
| 1282 |
+
"step": 870
|
| 1283 |
+
},
|
| 1284 |
+
{
|
| 1285 |
+
"loss": 0.2,
|
| 1286 |
+
"grad_norm": 0.4287453591823578,
|
| 1287 |
+
"learning_rate": 0.000204810683070242,
|
| 1288 |
+
"epoch": 3.1252236135957068,
|
| 1289 |
+
"step": 875
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"loss": 0.1918,
|
| 1293 |
+
"grad_norm": 0.4345555901527405,
|
| 1294 |
+
"learning_rate": 0.00020380870911418709,
|
| 1295 |
+
"epoch": 3.143112701252236,
|
| 1296 |
+
"step": 880
|
| 1297 |
+
},
|
| 1298 |
+
{
|
| 1299 |
+
"loss": 0.1911,
|
| 1300 |
+
"grad_norm": 0.43231672048568726,
|
| 1301 |
+
"learning_rate": 0.00020280397197690753,
|
| 1302 |
+
"epoch": 3.1610017889087656,
|
| 1303 |
+
"step": 885
|
| 1304 |
+
},
|
| 1305 |
+
{
|
| 1306 |
+
"loss": 0.196,
|
| 1307 |
+
"grad_norm": 0.4027317464351654,
|
| 1308 |
+
"learning_rate": 0.00020179652325359756,
|
| 1309 |
+
"epoch": 3.178890876565295,
|
| 1310 |
+
"step": 890
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"loss": 0.1964,
|
| 1314 |
+
"grad_norm": 0.4894247353076935,
|
| 1315 |
+
"learning_rate": 0.00020078641467869652,
|
| 1316 |
+
"epoch": 3.196779964221825,
|
| 1317 |
+
"step": 895
|
| 1318 |
+
},
|
| 1319 |
+
{
|
| 1320 |
+
"loss": 0.1847,
|
| 1321 |
+
"grad_norm": 0.4106491804122925,
|
| 1322 |
+
"learning_rate": 0.00019977369812323214,
|
| 1323 |
+
"epoch": 3.2146690518783543,
|
| 1324 |
+
"step": 900
|
| 1325 |
+
},
|
| 1326 |
+
{
|
| 1327 |
+
"eval_loss": 0.3646461069583893,
|
| 1328 |
+
"eval_runtime": 20.6747,
|
| 1329 |
+
"eval_samples_per_second": 162.808,
|
| 1330 |
+
"eval_steps_per_second": 10.206,
|
| 1331 |
+
"epoch": 3.2146690518783543,
|
| 1332 |
+
"step": 900
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"loss": 0.1918,
|
| 1336 |
+
"grad_norm": 0.5217190980911255,
|
| 1337 |
+
"learning_rate": 0.00019875842559215724,
|
| 1338 |
+
"epoch": 3.2325581395348837,
|
| 1339 |
+
"step": 905
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"loss": 0.1856,
|
| 1343 |
+
"grad_norm": 0.3551487922668457,
|
| 1344 |
+
"learning_rate": 0.00019774064922167876,
|
| 1345 |
+
"epoch": 3.250447227191413,
|
| 1346 |
+
"step": 910
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"loss": 0.1978,
|
| 1350 |
+
"grad_norm": 0.44846031069755554,
|
| 1351 |
+
"learning_rate": 0.00019672042127658062,
|
| 1352 |
+
"epoch": 3.268336314847943,
|
| 1353 |
+
"step": 915
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"loss": 0.1912,
|
| 1357 |
+
"grad_norm": 0.45646387338638306,
|
| 1358 |
+
"learning_rate": 0.00019569779414753999,
|
| 1359 |
+
"epoch": 3.2862254025044724,
|
| 1360 |
+
"step": 920
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"loss": 0.1988,
|
| 1364 |
+
"grad_norm": 0.42022913694381714,
|
| 1365 |
+
"learning_rate": 0.00019467282034843654,
|
| 1366 |
+
"epoch": 3.304114490161002,
|
| 1367 |
+
"step": 925
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"loss": 0.188,
|
| 1371 |
+
"grad_norm": 0.44034436345100403,
|
| 1372 |
+
"learning_rate": 0.00019364555251365627,
|
| 1373 |
+
"epoch": 3.322003577817531,
|
| 1374 |
+
"step": 930
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"loss": 0.2039,
|
| 1378 |
+
"grad_norm": 0.5154224634170532,
|
| 1379 |
+
"learning_rate": 0.00019261604339538809,
|
| 1380 |
+
"epoch": 3.3398926654740606,
|
| 1381 |
+
"step": 935
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"loss": 0.2013,
|
| 1385 |
+
"grad_norm": 0.6147205829620361,
|
| 1386 |
+
"learning_rate": 0.0001915843458609152,
|
| 1387 |
+
"epoch": 3.3577817531305905,
|
| 1388 |
+
"step": 940
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"loss": 0.2017,
|
| 1392 |
+
"grad_norm": 0.460700660943985,
|
| 1393 |
+
"learning_rate": 0.0001905505128899004,
|
| 1394 |
+
"epoch": 3.37567084078712,
|
| 1395 |
+
"step": 945
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"loss": 0.1908,
|
| 1399 |
+
"grad_norm": 0.5751897692680359,
|
| 1400 |
+
"learning_rate": 0.000189514597571665,
|
| 1401 |
+
"epoch": 3.3935599284436493,
|
| 1402 |
+
"step": 950
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"loss": 0.1965,
|
| 1406 |
+
"grad_norm": 0.4614831507205963,
|
| 1407 |
+
"learning_rate": 0.00018847665310246312,
|
| 1408 |
+
"epoch": 3.4114490161001787,
|
| 1409 |
+
"step": 955
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"loss": 0.2014,
|
| 1413 |
+
"grad_norm": 0.3863570988178253,
|
| 1414 |
+
"learning_rate": 0.00018743673278274954,
|
| 1415 |
+
"epoch": 3.4293381037567086,
|
| 1416 |
+
"step": 960
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"loss": 0.189,
|
| 1420 |
+
"grad_norm": 0.3508825898170471,
|
| 1421 |
+
"learning_rate": 0.0001863948900144428,
|
| 1422 |
+
"epoch": 3.447227191413238,
|
| 1423 |
+
"step": 965
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"loss": 0.1793,
|
| 1427 |
+
"grad_norm": 0.3714524805545807,
|
| 1428 |
+
"learning_rate": 0.00018535117829818293,
|
| 1429 |
+
"epoch": 3.4651162790697674,
|
| 1430 |
+
"step": 970
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"loss": 0.2049,
|
| 1434 |
+
"grad_norm": 0.43370577692985535,
|
| 1435 |
+
"learning_rate": 0.00018430565123058409,
|
| 1436 |
+
"epoch": 3.483005366726297,
|
| 1437 |
+
"step": 975
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"loss": 0.1803,
|
| 1441 |
+
"grad_norm": 0.34576115012168884,
|
| 1442 |
+
"learning_rate": 0.00018325836250148215,
|
| 1443 |
+
"epoch": 3.500894454382826,
|
| 1444 |
+
"step": 980
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"loss": 0.1891,
|
| 1448 |
+
"grad_norm": 0.41390174627304077,
|
| 1449 |
+
"learning_rate": 0.00018220936589117775,
|
| 1450 |
+
"epoch": 3.518783542039356,
|
| 1451 |
+
"step": 985
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"loss": 0.1909,
|
| 1455 |
+
"grad_norm": 0.5129839777946472,
|
| 1456 |
+
"learning_rate": 0.00018115871526767455,
|
| 1457 |
+
"epoch": 3.5366726296958855,
|
| 1458 |
+
"step": 990
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"loss": 0.1919,
|
| 1462 |
+
"grad_norm": 0.537712812423706,
|
| 1463 |
+
"learning_rate": 0.00018010646458391293,
|
| 1464 |
+
"epoch": 3.554561717352415,
|
| 1465 |
+
"step": 995
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"loss": 0.1909,
|
| 1469 |
+
"grad_norm": 0.3729874789714813,
|
| 1470 |
+
"learning_rate": 0.00017905266787499947,
|
| 1471 |
+
"epoch": 3.5724508050089447,
|
| 1472 |
+
"step": 1000
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"eval_loss": 0.36307844519615173,
|
| 1476 |
+
"eval_runtime": 20.6777,
|
| 1477 |
+
"eval_samples_per_second": 162.784,
|
| 1478 |
+
"eval_steps_per_second": 10.204,
|
| 1479 |
+
"epoch": 3.5724508050089447,
|
| 1480 |
+
"step": 1000
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"train_runtime": 2976.681,
|
| 1484 |
+
"train_samples_per_second": 96.118,
|
| 1485 |
+
"train_steps_per_second": 0.75,
|
| 1486 |
+
"total_flos": 4.722006162277663e+17,
|
| 1487 |
+
"train_loss": 0.444128730237484,
|
| 1488 |
+
"epoch": 3.5724508050089447,
|
| 1489 |
+
"step": 1000
|
| 1490 |
+
}
|
| 1491 |
+
]
|