Image-Text-to-Text
Transformers
Safetensors
English
nanbeige_vlm
vlm
nanbeige
siglip
conversational
custom_code
Instructions to use SkyAsl/Nanbeige4.1-VLM-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkyAsl/Nanbeige4.1-VLM-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="SkyAsl/Nanbeige4.1-VLM-Base", trust_remote_code=True) messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import NanbeigeVLM model = NanbeigeVLM.from_pretrained("SkyAsl/Nanbeige4.1-VLM-Base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use SkyAsl/Nanbeige4.1-VLM-Base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SkyAsl/Nanbeige4.1-VLM-Base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SkyAsl/Nanbeige4.1-VLM-Base", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/SkyAsl/Nanbeige4.1-VLM-Base
- SGLang
How to use SkyAsl/Nanbeige4.1-VLM-Base 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 "SkyAsl/Nanbeige4.1-VLM-Base" \ --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": "SkyAsl/Nanbeige4.1-VLM-Base", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'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 "SkyAsl/Nanbeige4.1-VLM-Base" \ --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": "SkyAsl/Nanbeige4.1-VLM-Base", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use SkyAsl/Nanbeige4.1-VLM-Base with Docker Model Runner:
docker model run hf.co/SkyAsl/Nanbeige4.1-VLM-Base
Upload folder using huggingface_hub
Browse files- config.json +11 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +1336 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"NanbeigeVLM"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"llm_model_id": "Nanbeige/Nanbeige4.1-3B",
|
| 7 |
+
"model_type": "nanbeige_vlm",
|
| 8 |
+
"transformers_version": "5.0.0",
|
| 9 |
+
"use_cache": false,
|
| 10 |
+
"vision_model_id": "google/siglip-so400m-patch14-384"
|
| 11 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4990fcdc36b388508b86d3bb096096540887ac79feb8af76810bd0d3e9e941e5
|
| 3 |
+
size 8742472792
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:91a9d3eb2405e968a5a72d9e017f70fffff01206c724b58531293c86f310b5c4
|
| 3 |
+
size 38036259
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:61c19bab1174704a4a4441475683bf1270277af15d2e2c95e964789128e482c4
|
| 3 |
+
size 14645
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:31b57c35e99eb7126e43e56c3bb311f3771c5e24d447c6ab980550b87dc85b76
|
| 3 |
+
size 1465
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1336 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 9303,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.005374610340750295,
|
| 14 |
+
"grad_norm": 1.421875,
|
| 15 |
+
"learning_rate": 0.00035,
|
| 16 |
+
"loss": 5.064356994628906,
|
| 17 |
+
"step": 50
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.01074922068150059,
|
| 21 |
+
"grad_norm": 1.0078125,
|
| 22 |
+
"learning_rate": 0.0007071428571428572,
|
| 23 |
+
"loss": 3.608876953125,
|
| 24 |
+
"step": 100
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.016123831022250887,
|
| 28 |
+
"grad_norm": 0.8046875,
|
| 29 |
+
"learning_rate": 0.0010642857142857142,
|
| 30 |
+
"loss": 3.345799865722656,
|
| 31 |
+
"step": 150
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.02149844136300118,
|
| 35 |
+
"grad_norm": 0.609375,
|
| 36 |
+
"learning_rate": 0.0014214285714285715,
|
| 37 |
+
"loss": 3.1618075561523438,
|
| 38 |
+
"step": 200
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.02687305170375148,
|
| 42 |
+
"grad_norm": 0.51953125,
|
| 43 |
+
"learning_rate": 0.0017785714285714284,
|
| 44 |
+
"loss": 3.1220803833007813,
|
| 45 |
+
"step": 250
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.032247662044501774,
|
| 49 |
+
"grad_norm": 0.64453125,
|
| 50 |
+
"learning_rate": 0.001999978118683244,
|
| 51 |
+
"loss": 3.0888632202148436,
|
| 52 |
+
"step": 300
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.03762227238525207,
|
| 56 |
+
"grad_norm": 0.474609375,
|
| 57 |
+
"learning_rate": 0.001999711434020733,
|
| 58 |
+
"loss": 3.0699005126953125,
|
| 59 |
+
"step": 350
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.04299688272600236,
|
| 63 |
+
"grad_norm": 0.486328125,
|
| 64 |
+
"learning_rate": 0.001999141778030422,
|
| 65 |
+
"loss": 3.015286865234375,
|
| 66 |
+
"step": 400
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.04837149306675266,
|
| 70 |
+
"grad_norm": 0.46875,
|
| 71 |
+
"learning_rate": 0.001998269323351561,
|
| 72 |
+
"loss": 3.003041076660156,
|
| 73 |
+
"step": 450
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.05374610340750296,
|
| 77 |
+
"grad_norm": 0.447265625,
|
| 78 |
+
"learning_rate": 0.001997094334389201,
|
| 79 |
+
"loss": 2.9448507690429686,
|
| 80 |
+
"step": 500
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.05912071374825325,
|
| 84 |
+
"grad_norm": 0.515625,
|
| 85 |
+
"learning_rate": 0.001995617167234063,
|
| 86 |
+
"loss": 2.9481060791015623,
|
| 87 |
+
"step": 550
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.06449532408900355,
|
| 91 |
+
"grad_norm": 0.4140625,
|
| 92 |
+
"learning_rate": 0.001993838269554624,
|
| 93 |
+
"loss": 2.926596374511719,
|
| 94 |
+
"step": 600
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.06986993442975384,
|
| 98 |
+
"grad_norm": 0.423828125,
|
| 99 |
+
"learning_rate": 0.001991758180461445,
|
| 100 |
+
"loss": 2.923228454589844,
|
| 101 |
+
"step": 650
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.07524454477050414,
|
| 105 |
+
"grad_norm": 0.390625,
|
| 106 |
+
"learning_rate": 0.0019893775303437885,
|
| 107 |
+
"loss": 2.938221740722656,
|
| 108 |
+
"step": 700
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.08061915511125443,
|
| 112 |
+
"grad_norm": 0.400390625,
|
| 113 |
+
"learning_rate": 0.0019866970406785763,
|
| 114 |
+
"loss": 2.844507141113281,
|
| 115 |
+
"step": 750
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.08599376545200473,
|
| 119 |
+
"grad_norm": 0.416015625,
|
| 120 |
+
"learning_rate": 0.001983717523811736,
|
| 121 |
+
"loss": 2.8589572143554687,
|
| 122 |
+
"step": 800
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.09136837579275503,
|
| 126 |
+
"grad_norm": 0.390625,
|
| 127 |
+
"learning_rate": 0.001980439882712016,
|
| 128 |
+
"loss": 2.8743359375,
|
| 129 |
+
"step": 850
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.09674298613350532,
|
| 133 |
+
"grad_norm": 0.3828125,
|
| 134 |
+
"learning_rate": 0.0019768651106973297,
|
| 135 |
+
"loss": 2.840479431152344,
|
| 136 |
+
"step": 900
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.10211759647425561,
|
| 140 |
+
"grad_norm": 0.4296875,
|
| 141 |
+
"learning_rate": 0.0019729942911337226,
|
| 142 |
+
"loss": 2.803941650390625,
|
| 143 |
+
"step": 950
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.10749220681500592,
|
| 147 |
+
"grad_norm": 0.373046875,
|
| 148 |
+
"learning_rate": 0.001968828597107052,
|
| 149 |
+
"loss": 2.841445007324219,
|
| 150 |
+
"step": 1000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.11286681715575621,
|
| 154 |
+
"grad_norm": 0.40625,
|
| 155 |
+
"learning_rate": 0.001964369291067467,
|
| 156 |
+
"loss": 2.79259765625,
|
| 157 |
+
"step": 1050
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.1182414274965065,
|
| 161 |
+
"grad_norm": 0.4296875,
|
| 162 |
+
"learning_rate": 0.0019596177244468175,
|
| 163 |
+
"loss": 2.78593017578125,
|
| 164 |
+
"step": 1100
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.1236160378372568,
|
| 168 |
+
"grad_norm": 0.69921875,
|
| 169 |
+
"learning_rate": 0.0019545753372490877,
|
| 170 |
+
"loss": 3.038936767578125,
|
| 171 |
+
"step": 1150
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.1289906481780071,
|
| 175 |
+
"grad_norm": 0.375,
|
| 176 |
+
"learning_rate": 0.001949243657613991,
|
| 177 |
+
"loss": 2.9172021484375,
|
| 178 |
+
"step": 1200
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.13436525851875739,
|
| 182 |
+
"grad_norm": 0.3359375,
|
| 183 |
+
"learning_rate": 0.001943624301353855,
|
| 184 |
+
"loss": 2.7779638671875,
|
| 185 |
+
"step": 1250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.13973986885950768,
|
| 189 |
+
"grad_norm": 0.39453125,
|
| 190 |
+
"learning_rate": 0.001937718971463933,
|
| 191 |
+
"loss": 2.7873052978515624,
|
| 192 |
+
"step": 1300
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.14511447920025797,
|
| 196 |
+
"grad_norm": 0.37109375,
|
| 197 |
+
"learning_rate": 0.0019315294576062987,
|
| 198 |
+
"loss": 2.7574578857421876,
|
| 199 |
+
"step": 1350
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.1504890895410083,
|
| 203 |
+
"grad_norm": 0.404296875,
|
| 204 |
+
"learning_rate": 0.0019250576355674723,
|
| 205 |
+
"loss": 2.7929611206054688,
|
| 206 |
+
"step": 1400
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.15586369988175858,
|
| 210 |
+
"grad_norm": 0.400390625,
|
| 211 |
+
"learning_rate": 0.0019183054666899466,
|
| 212 |
+
"loss": 2.7301507568359376,
|
| 213 |
+
"step": 1450
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.16123831022250887,
|
| 217 |
+
"grad_norm": 0.369140625,
|
| 218 |
+
"learning_rate": 0.0019112749972777859,
|
| 219 |
+
"loss": 2.7670703125,
|
| 220 |
+
"step": 1500
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.16661292056325916,
|
| 224 |
+
"grad_norm": 0.404296875,
|
| 225 |
+
"learning_rate": 0.001903968357976475,
|
| 226 |
+
"loss": 2.755356750488281,
|
| 227 |
+
"step": 1550
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.17198753090400945,
|
| 231 |
+
"grad_norm": 0.419921875,
|
| 232 |
+
"learning_rate": 0.001896387763127208,
|
| 233 |
+
"loss": 2.7264895629882813,
|
| 234 |
+
"step": 1600
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.17736214124475974,
|
| 238 |
+
"grad_norm": 0.392578125,
|
| 239 |
+
"learning_rate": 0.0018885355100958137,
|
| 240 |
+
"loss": 2.70769775390625,
|
| 241 |
+
"step": 1650
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.18273675158551006,
|
| 245 |
+
"grad_norm": 0.376953125,
|
| 246 |
+
"learning_rate": 0.001880413978576518,
|
| 247 |
+
"loss": 2.7275445556640623,
|
| 248 |
+
"step": 1700
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.18811136192626035,
|
| 252 |
+
"grad_norm": 0.33203125,
|
| 253 |
+
"learning_rate": 0.0018720256298707567,
|
| 254 |
+
"loss": 2.7270468139648436,
|
| 255 |
+
"step": 1750
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.19348597226701064,
|
| 259 |
+
"grad_norm": 0.373046875,
|
| 260 |
+
"learning_rate": 0.0018633730061412574,
|
| 261 |
+
"loss": 2.6965151977539064,
|
| 262 |
+
"step": 1800
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.19886058260776093,
|
| 266 |
+
"grad_norm": 0.361328125,
|
| 267 |
+
"learning_rate": 0.0018544587296416132,
|
| 268 |
+
"loss": 2.7021688842773437,
|
| 269 |
+
"step": 1850
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.20423519294851122,
|
| 273 |
+
"grad_norm": 0.376953125,
|
| 274 |
+
"learning_rate": 0.0018452855019215867,
|
| 275 |
+
"loss": 2.6597100830078126,
|
| 276 |
+
"step": 1900
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.20960980328926151,
|
| 280 |
+
"grad_norm": 0.384765625,
|
| 281 |
+
"learning_rate": 0.0018358561030083823,
|
| 282 |
+
"loss": 2.698919677734375,
|
| 283 |
+
"step": 1950
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.21498441363001183,
|
| 287 |
+
"grad_norm": 0.357421875,
|
| 288 |
+
"learning_rate": 0.0018261733905641326,
|
| 289 |
+
"loss": 2.6952700805664063,
|
| 290 |
+
"step": 2000
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.22035902397076212,
|
| 294 |
+
"grad_norm": 0.369140625,
|
| 295 |
+
"learning_rate": 0.001816240299019861,
|
| 296 |
+
"loss": 2.6905059814453125,
|
| 297 |
+
"step": 2050
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.22573363431151242,
|
| 301 |
+
"grad_norm": 0.396484375,
|
| 302 |
+
"learning_rate": 0.0018060598386861748,
|
| 303 |
+
"loss": 2.680411682128906,
|
| 304 |
+
"step": 2100
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.2311082446522627,
|
| 308 |
+
"grad_norm": 0.41015625,
|
| 309 |
+
"learning_rate": 0.0017956350948409652,
|
| 310 |
+
"loss": 2.7053533935546876,
|
| 311 |
+
"step": 2150
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.236482854993013,
|
| 315 |
+
"grad_norm": 0.34765625,
|
| 316 |
+
"learning_rate": 0.0017849692267943862,
|
| 317 |
+
"loss": 2.6874371337890626,
|
| 318 |
+
"step": 2200
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.2418574653337633,
|
| 322 |
+
"grad_norm": 0.38671875,
|
| 323 |
+
"learning_rate": 0.0017740654669313985,
|
| 324 |
+
"loss": 2.689461364746094,
|
| 325 |
+
"step": 2250
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.2472320756745136,
|
| 329 |
+
"grad_norm": 0.337890625,
|
| 330 |
+
"learning_rate": 0.0017629271197321663,
|
| 331 |
+
"loss": 2.6473489379882813,
|
| 332 |
+
"step": 2300
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.25260668601526387,
|
| 336 |
+
"grad_norm": 0.37890625,
|
| 337 |
+
"learning_rate": 0.001751557560770606,
|
| 338 |
+
"loss": 2.6916015625,
|
| 339 |
+
"step": 2350
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.2579812963560142,
|
| 343 |
+
"grad_norm": 0.353515625,
|
| 344 |
+
"learning_rate": 0.001739960235691388,
|
| 345 |
+
"loss": 2.647242431640625,
|
| 346 |
+
"step": 2400
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.2633559066967645,
|
| 350 |
+
"grad_norm": 0.3359375,
|
| 351 |
+
"learning_rate": 0.001728138659165706,
|
| 352 |
+
"loss": 2.66830078125,
|
| 353 |
+
"step": 2450
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.26873051703751477,
|
| 357 |
+
"grad_norm": 0.37890625,
|
| 358 |
+
"learning_rate": 0.0017160964138261217,
|
| 359 |
+
"loss": 2.643187255859375,
|
| 360 |
+
"step": 2500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.2741051273782651,
|
| 364 |
+
"grad_norm": 0.35546875,
|
| 365 |
+
"learning_rate": 0.0017038371491808193,
|
| 366 |
+
"loss": 2.6565380859375,
|
| 367 |
+
"step": 2550
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.27947973771901535,
|
| 371 |
+
"grad_norm": 0.375,
|
| 372 |
+
"learning_rate": 0.0016913645805075892,
|
| 373 |
+
"loss": 2.6902203369140625,
|
| 374 |
+
"step": 2600
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.28485434805976567,
|
| 378 |
+
"grad_norm": 0.33203125,
|
| 379 |
+
"learning_rate": 0.0016786824877278801,
|
| 380 |
+
"loss": 2.637608642578125,
|
| 381 |
+
"step": 2650
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.29022895840051594,
|
| 385 |
+
"grad_norm": 0.36328125,
|
| 386 |
+
"learning_rate": 0.001665794714261261,
|
| 387 |
+
"loss": 2.647352600097656,
|
| 388 |
+
"step": 2700
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.29560356874126625,
|
| 392 |
+
"grad_norm": 0.33203125,
|
| 393 |
+
"learning_rate": 0.0016527051658606388,
|
| 394 |
+
"loss": 2.64443359375,
|
| 395 |
+
"step": 2750
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.3009781790820166,
|
| 399 |
+
"grad_norm": 0.349609375,
|
| 400 |
+
"learning_rate": 0.0016394178094285856,
|
| 401 |
+
"loss": 2.6496731567382814,
|
| 402 |
+
"step": 2800
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.30635278942276684,
|
| 406 |
+
"grad_norm": 0.3359375,
|
| 407 |
+
"learning_rate": 0.001625936671815135,
|
| 408 |
+
"loss": 2.632543640136719,
|
| 409 |
+
"step": 2850
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.31172739976351715,
|
| 413 |
+
"grad_norm": 0.36328125,
|
| 414 |
+
"learning_rate": 0.0016122658385974078,
|
| 415 |
+
"loss": 2.6647274780273436,
|
| 416 |
+
"step": 2900
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.3171020101042674,
|
| 420 |
+
"grad_norm": 0.3515625,
|
| 421 |
+
"learning_rate": 0.001598409452841445,
|
| 422 |
+
"loss": 2.59723388671875,
|
| 423 |
+
"step": 2950
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.32247662044501774,
|
| 427 |
+
"grad_norm": 0.341796875,
|
| 428 |
+
"learning_rate": 0.0015843717138466118,
|
| 429 |
+
"loss": 2.6529254150390624,
|
| 430 |
+
"step": 3000
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.32785123078576806,
|
| 434 |
+
"grad_norm": 0.33203125,
|
| 435 |
+
"learning_rate": 0.0015701568758729656,
|
| 436 |
+
"loss": 2.608984375,
|
| 437 |
+
"step": 3050
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.3332258411265183,
|
| 441 |
+
"grad_norm": 0.3671875,
|
| 442 |
+
"learning_rate": 0.0015557692468519645,
|
| 443 |
+
"loss": 2.6270855712890624,
|
| 444 |
+
"step": 3100
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.33860045146726864,
|
| 448 |
+
"grad_norm": 0.302734375,
|
| 449 |
+
"learning_rate": 0.0015412131870809098,
|
| 450 |
+
"loss": 2.763183288574219,
|
| 451 |
+
"step": 3150
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.3439750618080189,
|
| 455 |
+
"grad_norm": 0.35546875,
|
| 456 |
+
"learning_rate": 0.0015264931079015213,
|
| 457 |
+
"loss": 2.6557275390625,
|
| 458 |
+
"step": 3200
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.3493496721487692,
|
| 462 |
+
"grad_norm": 0.328125,
|
| 463 |
+
"learning_rate": 0.0015116134703630406,
|
| 464 |
+
"loss": 2.6435775756835938,
|
| 465 |
+
"step": 3250
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.3547242824895195,
|
| 469 |
+
"grad_norm": 0.357421875,
|
| 470 |
+
"learning_rate": 0.0014965787838702705,
|
| 471 |
+
"loss": 2.6241064453125,
|
| 472 |
+
"step": 3300
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.3600988928302698,
|
| 476 |
+
"grad_norm": 0.400390625,
|
| 477 |
+
"learning_rate": 0.001481393604816961,
|
| 478 |
+
"loss": 2.6222308349609373,
|
| 479 |
+
"step": 3350
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.3654735031710201,
|
| 483 |
+
"grad_norm": 0.419921875,
|
| 484 |
+
"learning_rate": 0.0014660625352049537,
|
| 485 |
+
"loss": 2.64865478515625,
|
| 486 |
+
"step": 3400
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.3708481135117704,
|
| 490 |
+
"grad_norm": 0.3359375,
|
| 491 |
+
"learning_rate": 0.0014505902212495058,
|
| 492 |
+
"loss": 2.613692626953125,
|
| 493 |
+
"step": 3450
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.3762227238525207,
|
| 497 |
+
"grad_norm": 0.345703125,
|
| 498 |
+
"learning_rate": 0.0014349813519712116,
|
| 499 |
+
"loss": 2.5882388305664064,
|
| 500 |
+
"step": 3500
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.38159733419327097,
|
| 504 |
+
"grad_norm": 0.39453125,
|
| 505 |
+
"learning_rate": 0.0014192406577749562,
|
| 506 |
+
"loss": 2.5886911010742186,
|
| 507 |
+
"step": 3550
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.3869719445340213,
|
| 511 |
+
"grad_norm": 0.353515625,
|
| 512 |
+
"learning_rate": 0.0014033729090163227,
|
| 513 |
+
"loss": 2.576683349609375,
|
| 514 |
+
"step": 3600
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.3923465548747716,
|
| 518 |
+
"grad_norm": 0.3359375,
|
| 519 |
+
"learning_rate": 0.0013873829145558958,
|
| 520 |
+
"loss": 2.5887600708007814,
|
| 521 |
+
"step": 3650
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.39772116521552187,
|
| 525 |
+
"grad_norm": 0.361328125,
|
| 526 |
+
"learning_rate": 0.001371275520301892,
|
| 527 |
+
"loss": 2.602078857421875,
|
| 528 |
+
"step": 3700
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.4030957755562722,
|
| 532 |
+
"grad_norm": 0.384765625,
|
| 533 |
+
"learning_rate": 0.0013550556077415684,
|
| 534 |
+
"loss": 2.584700012207031,
|
| 535 |
+
"step": 3750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.40847038589702245,
|
| 539 |
+
"grad_norm": 0.33984375,
|
| 540 |
+
"learning_rate": 0.0013387280924618402,
|
| 541 |
+
"loss": 2.5568161010742188,
|
| 542 |
+
"step": 3800
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.41384499623777277,
|
| 546 |
+
"grad_norm": 0.34765625,
|
| 547 |
+
"learning_rate": 0.0013222979226595725,
|
| 548 |
+
"loss": 2.56928955078125,
|
| 549 |
+
"step": 3850
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.41921960657852303,
|
| 553 |
+
"grad_norm": 0.37109375,
|
| 554 |
+
"learning_rate": 0.0013057700776419859,
|
| 555 |
+
"loss": 2.605091552734375,
|
| 556 |
+
"step": 3900
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.42459421691927335,
|
| 560 |
+
"grad_norm": 0.3828125,
|
| 561 |
+
"learning_rate": 0.001289149566317631,
|
| 562 |
+
"loss": 2.6072283935546876,
|
| 563 |
+
"step": 3950
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.42996882726002367,
|
| 567 |
+
"grad_norm": 0.3828125,
|
| 568 |
+
"learning_rate": 0.0012724414256783973,
|
| 569 |
+
"loss": 2.5836697387695313,
|
| 570 |
+
"step": 4000
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.43534343760077393,
|
| 574 |
+
"grad_norm": 0.38671875,
|
| 575 |
+
"learning_rate": 0.001255650719273007,
|
| 576 |
+
"loss": 2.5884500122070313,
|
| 577 |
+
"step": 4050
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.44071804794152425,
|
| 581 |
+
"grad_norm": 0.369140625,
|
| 582 |
+
"learning_rate": 0.0012387825356724627,
|
| 583 |
+
"loss": 2.5769717407226564,
|
| 584 |
+
"step": 4100
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.4460926582822745,
|
| 588 |
+
"grad_norm": 0.380859375,
|
| 589 |
+
"learning_rate": 0.0012218419869279118,
|
| 590 |
+
"loss": 2.557017974853516,
|
| 591 |
+
"step": 4150
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.45146726862302483,
|
| 595 |
+
"grad_norm": 0.357421875,
|
| 596 |
+
"learning_rate": 0.0012048342070213936,
|
| 597 |
+
"loss": 2.58254150390625,
|
| 598 |
+
"step": 4200
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.45684187896377515,
|
| 602 |
+
"grad_norm": 0.30859375,
|
| 603 |
+
"learning_rate": 0.0011877643503099414,
|
| 604 |
+
"loss": 2.576588439941406,
|
| 605 |
+
"step": 4250
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.4622164893045254,
|
| 609 |
+
"grad_norm": 0.392578125,
|
| 610 |
+
"learning_rate": 0.0011706375899635088,
|
| 611 |
+
"loss": 2.567438659667969,
|
| 612 |
+
"step": 4300
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.46759109964527573,
|
| 616 |
+
"grad_norm": 0.400390625,
|
| 617 |
+
"learning_rate": 0.001153459116397197,
|
| 618 |
+
"loss": 2.546401062011719,
|
| 619 |
+
"step": 4350
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.472965709986026,
|
| 623 |
+
"grad_norm": 0.37109375,
|
| 624 |
+
"learning_rate": 0.0011362341356982509,
|
| 625 |
+
"loss": 2.5553611755371093,
|
| 626 |
+
"step": 4400
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.4783403203267763,
|
| 630 |
+
"grad_norm": 0.36328125,
|
| 631 |
+
"learning_rate": 0.001118967868048311,
|
| 632 |
+
"loss": 2.5596099853515626,
|
| 633 |
+
"step": 4450
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.4837149306675266,
|
| 637 |
+
"grad_norm": 0.3828125,
|
| 638 |
+
"learning_rate": 0.0011016655461413914,
|
| 639 |
+
"loss": 2.5248782348632814,
|
| 640 |
+
"step": 4500
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.4890895410082769,
|
| 644 |
+
"grad_norm": 0.34375,
|
| 645 |
+
"learning_rate": 0.0010843324135980644,
|
| 646 |
+
"loss": 2.5419313049316408,
|
| 647 |
+
"step": 4550
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.4944641513490272,
|
| 651 |
+
"grad_norm": 0.37890625,
|
| 652 |
+
"learning_rate": 0.0010669737233763364,
|
| 653 |
+
"loss": 2.571695556640625,
|
| 654 |
+
"step": 4600
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.4998387616897775,
|
| 658 |
+
"grad_norm": 0.400390625,
|
| 659 |
+
"learning_rate": 0.0010495947361796928,
|
| 660 |
+
"loss": 2.5371047973632814,
|
| 661 |
+
"step": 4650
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.5052133720305277,
|
| 665 |
+
"grad_norm": 0.396484375,
|
| 666 |
+
"learning_rate": 0.0010322007188627957,
|
| 667 |
+
"loss": 2.5635662841796876,
|
| 668 |
+
"step": 4700
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.5105879823712781,
|
| 672 |
+
"grad_norm": 0.3203125,
|
| 673 |
+
"learning_rate": 0.0010147969428353169,
|
| 674 |
+
"loss": 2.5643951416015627,
|
| 675 |
+
"step": 4750
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.5159625927120284,
|
| 679 |
+
"grad_norm": 0.384765625,
|
| 680 |
+
"learning_rate": 0.0009973886824643906,
|
| 681 |
+
"loss": 2.5472283935546876,
|
| 682 |
+
"step": 4800
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.5213372030527786,
|
| 686 |
+
"grad_norm": 0.341796875,
|
| 687 |
+
"learning_rate": 0.000979981213476172,
|
| 688 |
+
"loss": 2.507301940917969,
|
| 689 |
+
"step": 4850
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.526711813393529,
|
| 693 |
+
"grad_norm": 0.341796875,
|
| 694 |
+
"learning_rate": 0.0009625798113569791,
|
| 695 |
+
"loss": 2.5510121154785157,
|
| 696 |
+
"step": 4900
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.5320864237342793,
|
| 700 |
+
"grad_norm": 0.36328125,
|
| 701 |
+
"learning_rate": 0.0009451897497545134,
|
| 702 |
+
"loss": 2.5213755798339843,
|
| 703 |
+
"step": 4950
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.5374610340750295,
|
| 707 |
+
"grad_norm": 0.33203125,
|
| 708 |
+
"learning_rate": 0.0009278162988796322,
|
| 709 |
+
"loss": 2.5514572143554686,
|
| 710 |
+
"step": 5000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.5428356444157798,
|
| 714 |
+
"grad_norm": 0.44140625,
|
| 715 |
+
"learning_rate": 0.000910464723909167,
|
| 716 |
+
"loss": 2.547716064453125,
|
| 717 |
+
"step": 5050
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.5482102547565302,
|
| 721 |
+
"grad_norm": 0.41796875,
|
| 722 |
+
"learning_rate": 0.0008931402833902632,
|
| 723 |
+
"loss": 2.5505126953125,
|
| 724 |
+
"step": 5100
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.5535848650972804,
|
| 728 |
+
"grad_norm": 0.400390625,
|
| 729 |
+
"learning_rate": 0.0008758482276467339,
|
| 730 |
+
"loss": 2.4952557373046873,
|
| 731 |
+
"step": 5150
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.5589594754380307,
|
| 735 |
+
"grad_norm": 0.388671875,
|
| 736 |
+
"learning_rate": 0.0008585937971878999,
|
| 737 |
+
"loss": 2.4909352111816405,
|
| 738 |
+
"step": 5200
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.5643340857787811,
|
| 742 |
+
"grad_norm": 5.6875,
|
| 743 |
+
"learning_rate": 0.0008413822211204104,
|
| 744 |
+
"loss": 2.549886016845703,
|
| 745 |
+
"step": 5250
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.5697086961195313,
|
| 749 |
+
"grad_norm": 0.30078125,
|
| 750 |
+
"learning_rate": 0.000824218715563515,
|
| 751 |
+
"loss": 2.650420837402344,
|
| 752 |
+
"step": 5300
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.5750833064602816,
|
| 756 |
+
"grad_norm": 0.380859375,
|
| 757 |
+
"learning_rate": 0.0008071084820682717,
|
| 758 |
+
"loss": 2.5389674377441405,
|
| 759 |
+
"step": 5350
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.5804579168010319,
|
| 763 |
+
"grad_norm": 0.369140625,
|
| 764 |
+
"learning_rate": 0.0007900567060411747,
|
| 765 |
+
"loss": 2.5362640380859376,
|
| 766 |
+
"step": 5400
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.5858325271417822,
|
| 770 |
+
"grad_norm": 0.3515625,
|
| 771 |
+
"learning_rate": 0.0007730685551726666,
|
| 772 |
+
"loss": 2.5355271911621093,
|
| 773 |
+
"step": 5450
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.5912071374825325,
|
| 777 |
+
"grad_norm": 0.34765625,
|
| 778 |
+
"learning_rate": 0.0007561491778710292,
|
| 779 |
+
"loss": 2.512120361328125,
|
| 780 |
+
"step": 5500
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.5965817478232828,
|
| 784 |
+
"grad_norm": 0.392578125,
|
| 785 |
+
"learning_rate": 0.0007393037017021098,
|
| 786 |
+
"loss": 2.510359039306641,
|
| 787 |
+
"step": 5550
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.6019563581640331,
|
| 791 |
+
"grad_norm": 0.400390625,
|
| 792 |
+
"learning_rate": 0.0007225372318353696,
|
| 793 |
+
"loss": 2.5245735168457033,
|
| 794 |
+
"step": 5600
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.6073309685047834,
|
| 798 |
+
"grad_norm": 0.373046875,
|
| 799 |
+
"learning_rate": 0.0007058548494967147,
|
| 800 |
+
"loss": 2.523134307861328,
|
| 801 |
+
"step": 5650
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.6127055788455337,
|
| 805 |
+
"grad_norm": 0.365234375,
|
| 806 |
+
"learning_rate": 0.0006892616104285889,
|
| 807 |
+
"loss": 2.5049142456054687,
|
| 808 |
+
"step": 5700
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.618080189186284,
|
| 812 |
+
"grad_norm": 0.353515625,
|
| 813 |
+
"learning_rate": 0.0006727625433577848,
|
| 814 |
+
"loss": 2.517113037109375,
|
| 815 |
+
"step": 5750
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.6234547995270343,
|
| 819 |
+
"grad_norm": 0.3828125,
|
| 820 |
+
"learning_rate": 0.0006563626484714434,
|
| 821 |
+
"loss": 2.494815216064453,
|
| 822 |
+
"step": 5800
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.6288294098677846,
|
| 826 |
+
"grad_norm": 0.34765625,
|
| 827 |
+
"learning_rate": 0.000640066895901706,
|
| 828 |
+
"loss": 2.5193748474121094,
|
| 829 |
+
"step": 5850
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.6342040202085348,
|
| 833 |
+
"grad_norm": 0.384765625,
|
| 834 |
+
"learning_rate": 0.0006238802242194691,
|
| 835 |
+
"loss": 2.4836334228515624,
|
| 836 |
+
"step": 5900
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.6395786305492852,
|
| 840 |
+
"grad_norm": 0.3828125,
|
| 841 |
+
"learning_rate": 0.0006078075389377099,
|
| 842 |
+
"loss": 2.4980899047851564,
|
| 843 |
+
"step": 5950
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.6449532408900355,
|
| 847 |
+
"grad_norm": 0.349609375,
|
| 848 |
+
"learning_rate": 0.0005918537110248243,
|
| 849 |
+
"loss": 2.4724685668945314,
|
| 850 |
+
"step": 6000
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.6503278512307857,
|
| 854 |
+
"grad_norm": 0.3671875,
|
| 855 |
+
"learning_rate": 0.0005760235754284408,
|
| 856 |
+
"loss": 2.488993377685547,
|
| 857 |
+
"step": 6050
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.6557024615715361,
|
| 861 |
+
"grad_norm": 0.40234375,
|
| 862 |
+
"learning_rate": 0.0005603219296101441,
|
| 863 |
+
"loss": 2.495192565917969,
|
| 864 |
+
"step": 6100
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.6610770719122864,
|
| 868 |
+
"grad_norm": 0.345703125,
|
| 869 |
+
"learning_rate": 0.0005447535320915639,
|
| 870 |
+
"loss": 2.5197113037109373,
|
| 871 |
+
"step": 6150
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.6664516822530366,
|
| 875 |
+
"grad_norm": 0.34375,
|
| 876 |
+
"learning_rate": 0.0005293231010122625,
|
| 877 |
+
"loss": 2.4819285583496096,
|
| 878 |
+
"step": 6200
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.6718262925937869,
|
| 882 |
+
"grad_norm": 0.37109375,
|
| 883 |
+
"learning_rate": 0.000514035312699862,
|
| 884 |
+
"loss": 2.475708465576172,
|
| 885 |
+
"step": 6250
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.6772009029345373,
|
| 889 |
+
"grad_norm": 0.40234375,
|
| 890 |
+
"learning_rate": 0.0004988948002528407,
|
| 891 |
+
"loss": 2.5065594482421876,
|
| 892 |
+
"step": 6300
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.6825755132752875,
|
| 896 |
+
"grad_norm": 0.38671875,
|
| 897 |
+
"learning_rate": 0.0004839061521364332,
|
| 898 |
+
"loss": 2.477359161376953,
|
| 899 |
+
"step": 6350
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.6879501236160378,
|
| 903 |
+
"grad_norm": 0.388671875,
|
| 904 |
+
"learning_rate": 0.00046907391079205606,
|
| 905 |
+
"loss": 2.4715898132324217,
|
| 906 |
+
"step": 6400
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.6933247339567882,
|
| 910 |
+
"grad_norm": 0.369140625,
|
| 911 |
+
"learning_rate": 0.0004544025712606783,
|
| 912 |
+
"loss": 2.4898191833496095,
|
| 913 |
+
"step": 6450
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.6986993442975384,
|
| 917 |
+
"grad_norm": 0.375,
|
| 918 |
+
"learning_rate": 0.00043989657982056396,
|
| 919 |
+
"loss": 2.5008090209960936,
|
| 920 |
+
"step": 6500
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.7040739546382887,
|
| 924 |
+
"grad_norm": 0.392578125,
|
| 925 |
+
"learning_rate": 0.000425560332639785,
|
| 926 |
+
"loss": 2.478828125,
|
| 927 |
+
"step": 6550
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.709448564979039,
|
| 931 |
+
"grad_norm": 0.384765625,
|
| 932 |
+
"learning_rate": 0.00041139817444392523,
|
| 933 |
+
"loss": 2.530415496826172,
|
| 934 |
+
"step": 6600
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.7148231753197893,
|
| 938 |
+
"grad_norm": 0.376953125,
|
| 939 |
+
"learning_rate": 0.00039741439719937356,
|
| 940 |
+
"loss": 2.4690420532226565,
|
| 941 |
+
"step": 6650
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.7201977856605396,
|
| 945 |
+
"grad_norm": 0.390625,
|
| 946 |
+
"learning_rate": 0.00038361323881260477,
|
| 947 |
+
"loss": 2.5214358520507814,
|
| 948 |
+
"step": 6700
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.7255723960012899,
|
| 952 |
+
"grad_norm": 0.34765625,
|
| 953 |
+
"learning_rate": 0.0003699988818458457,
|
| 954 |
+
"loss": 2.5013105773925783,
|
| 955 |
+
"step": 6750
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.7309470063420402,
|
| 959 |
+
"grad_norm": 0.408203125,
|
| 960 |
+
"learning_rate": 0.0003565754522495127,
|
| 961 |
+
"loss": 2.499014129638672,
|
| 962 |
+
"step": 6800
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.7363216166827905,
|
| 966 |
+
"grad_norm": 0.39453125,
|
| 967 |
+
"learning_rate": 0.00034334701811180614,
|
| 968 |
+
"loss": 2.4782760620117186,
|
| 969 |
+
"step": 6850
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.7416962270235408,
|
| 973 |
+
"grad_norm": 0.36328125,
|
| 974 |
+
"learning_rate": 0.00033031758842584023,
|
| 975 |
+
"loss": 2.4990211486816407,
|
| 976 |
+
"step": 6900
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.7470708373642911,
|
| 980 |
+
"grad_norm": 0.369140625,
|
| 981 |
+
"learning_rate": 0.00031749111187468317,
|
| 982 |
+
"loss": 2.5070140075683596,
|
| 983 |
+
"step": 6950
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.7524454477050414,
|
| 987 |
+
"grad_norm": 0.384765625,
|
| 988 |
+
"learning_rate": 0.000304871475634673,
|
| 989 |
+
"loss": 2.469460906982422,
|
| 990 |
+
"step": 7000
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.7578200580457917,
|
| 994 |
+
"grad_norm": 0.369140625,
|
| 995 |
+
"learning_rate": 0.00029246250419737694,
|
| 996 |
+
"loss": 2.4802810668945314,
|
| 997 |
+
"step": 7050
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.7631946683865419,
|
| 1001 |
+
"grad_norm": 0.392578125,
|
| 1002 |
+
"learning_rate": 0.00028026795821054184,
|
| 1003 |
+
"loss": 2.4981304931640627,
|
| 1004 |
+
"step": 7100
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.7685692787272923,
|
| 1008 |
+
"grad_norm": 0.3515625,
|
| 1009 |
+
"learning_rate": 0.00026829153333840093,
|
| 1010 |
+
"loss": 2.480979309082031,
|
| 1011 |
+
"step": 7150
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.7739438890680426,
|
| 1015 |
+
"grad_norm": 0.384765625,
|
| 1016 |
+
"learning_rate": 0.0002565368591416678,
|
| 1017 |
+
"loss": 2.4671348571777343,
|
| 1018 |
+
"step": 7200
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.7793184994087928,
|
| 1022 |
+
"grad_norm": 0.39453125,
|
| 1023 |
+
"learning_rate": 0.0002450074979775661,
|
| 1024 |
+
"loss": 2.485542449951172,
|
| 1025 |
+
"step": 7250
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.7846931097495432,
|
| 1029 |
+
"grad_norm": 0.36328125,
|
| 1030 |
+
"learning_rate": 0.00023370694392022784,
|
| 1031 |
+
"loss": 2.4594967651367186,
|
| 1032 |
+
"step": 7300
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.7900677200902935,
|
| 1036 |
+
"grad_norm": 0.38671875,
|
| 1037 |
+
"learning_rate": 0.00022263862170178174,
|
| 1038 |
+
"loss": 2.465318450927734,
|
| 1039 |
+
"step": 7350
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.7954423304310437,
|
| 1043 |
+
"grad_norm": 0.37890625,
|
| 1044 |
+
"learning_rate": 0.0002118058856744588,
|
| 1045 |
+
"loss": 2.482225341796875,
|
| 1046 |
+
"step": 7400
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.800816940771794,
|
| 1050 |
+
"grad_norm": 0.380859375,
|
| 1051 |
+
"learning_rate": 0.0002012120187940263,
|
| 1052 |
+
"loss": 2.4960020446777342,
|
| 1053 |
+
"step": 7450
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.8061915511125444,
|
| 1057 |
+
"grad_norm": 0.421875,
|
| 1058 |
+
"learning_rate": 0.000190860231624859,
|
| 1059 |
+
"loss": 2.4710400390625,
|
| 1060 |
+
"step": 7500
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.8115661614532946,
|
| 1064 |
+
"grad_norm": 0.375,
|
| 1065 |
+
"learning_rate": 0.0001807536613669497,
|
| 1066 |
+
"loss": 2.494093780517578,
|
| 1067 |
+
"step": 7550
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.8169407717940449,
|
| 1071 |
+
"grad_norm": 0.353515625,
|
| 1072 |
+
"learning_rate": 0.00017089537090515417,
|
| 1073 |
+
"loss": 2.489215545654297,
|
| 1074 |
+
"step": 7600
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.8223153821347953,
|
| 1078 |
+
"grad_norm": 0.34765625,
|
| 1079 |
+
"learning_rate": 0.00016128834788095393,
|
| 1080 |
+
"loss": 2.5090153503417967,
|
| 1081 |
+
"step": 7650
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.8276899924755455,
|
| 1085 |
+
"grad_norm": 0.365234375,
|
| 1086 |
+
"learning_rate": 0.00015193550378702936,
|
| 1087 |
+
"loss": 2.439830627441406,
|
| 1088 |
+
"step": 7700
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.8330646028162958,
|
| 1092 |
+
"grad_norm": 0.47265625,
|
| 1093 |
+
"learning_rate": 0.00014283967308490364,
|
| 1094 |
+
"loss": 2.4924505615234374,
|
| 1095 |
+
"step": 7750
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.8384392131570461,
|
| 1099 |
+
"grad_norm": 0.36328125,
|
| 1100 |
+
"learning_rate": 0.00013400361234593383,
|
| 1101 |
+
"loss": 2.483629608154297,
|
| 1102 |
+
"step": 7800
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.8438138234977964,
|
| 1106 |
+
"grad_norm": 0.37109375,
|
| 1107 |
+
"learning_rate": 0.00012542999941591071,
|
| 1108 |
+
"loss": 2.480398406982422,
|
| 1109 |
+
"step": 7850
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.8491884338385467,
|
| 1113 |
+
"grad_norm": 0.40234375,
|
| 1114 |
+
"learning_rate": 0.00011712143260351027,
|
| 1115 |
+
"loss": 2.489410858154297,
|
| 1116 |
+
"step": 7900
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.854563044179297,
|
| 1120 |
+
"grad_norm": 0.400390625,
|
| 1121 |
+
"learning_rate": 0.00010908042989285716,
|
| 1122 |
+
"loss": 2.482573699951172,
|
| 1123 |
+
"step": 7950
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.8599376545200473,
|
| 1127 |
+
"grad_norm": 0.419921875,
|
| 1128 |
+
"learning_rate": 0.00010130942818042455,
|
| 1129 |
+
"loss": 2.4500636291503906,
|
| 1130 |
+
"step": 8000
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.8653122648607976,
|
| 1134 |
+
"grad_norm": 0.37890625,
|
| 1135 |
+
"learning_rate": 9.381078253651265e-05,
|
| 1136 |
+
"loss": 2.477762908935547,
|
| 1137 |
+
"step": 8050
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.8706868752015479,
|
| 1141 |
+
"grad_norm": 0.37109375,
|
| 1142 |
+
"learning_rate": 8.65867654915241e-05,
|
| 1143 |
+
"loss": 2.5033940124511718,
|
| 1144 |
+
"step": 8100
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.8760614855422982,
|
| 1148 |
+
"grad_norm": 0.34375,
|
| 1149 |
+
"learning_rate": 7.96395663472529e-05,
|
| 1150 |
+
"loss": 2.4845465087890624,
|
| 1151 |
+
"step": 8150
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.8814360958830485,
|
| 1155 |
+
"grad_norm": 0.404296875,
|
| 1156 |
+
"learning_rate": 7.29712905133979e-05,
|
| 1157 |
+
"loss": 2.4911309814453126,
|
| 1158 |
+
"step": 8200
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.8868107062237988,
|
| 1162 |
+
"grad_norm": 0.365234375,
|
| 1163 |
+
"learning_rate": 6.658395886949986e-05,
|
| 1164 |
+
"loss": 2.5035252380371094,
|
| 1165 |
+
"step": 8250
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.892185316564549,
|
| 1169 |
+
"grad_norm": 0.375,
|
| 1170 |
+
"learning_rate": 6.047950715249562e-05,
|
| 1171 |
+
"loss": 2.4870149230957033,
|
| 1172 |
+
"step": 8300
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.8975599269052994,
|
| 1176 |
+
"grad_norm": 0.34765625,
|
| 1177 |
+
"learning_rate": 5.465978537007665e-05,
|
| 1178 |
+
"loss": 2.5042880249023436,
|
| 1179 |
+
"step": 8350
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.9029345372460497,
|
| 1183 |
+
"grad_norm": 0.341796875,
|
| 1184 |
+
"learning_rate": 4.912655724002823e-05,
|
| 1185 |
+
"loss": 2.4785316467285154,
|
| 1186 |
+
"step": 8400
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.9083091475867999,
|
| 1190 |
+
"grad_norm": 0.380859375,
|
| 1191 |
+
"learning_rate": 4.3881499655717526e-05,
|
| 1192 |
+
"loss": 2.491094970703125,
|
| 1193 |
+
"step": 8450
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.9136837579275503,
|
| 1197 |
+
"grad_norm": 0.3515625,
|
| 1198 |
+
"learning_rate": 3.89262021778991e-05,
|
| 1199 |
+
"loss": 2.4707289123535157,
|
| 1200 |
+
"step": 8500
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.9190583682683006,
|
| 1204 |
+
"grad_norm": 0.388671875,
|
| 1205 |
+
"learning_rate": 3.4262166552981976e-05,
|
| 1206 |
+
"loss": 2.4598626708984375,
|
| 1207 |
+
"step": 8550
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.9244329786090508,
|
| 1211 |
+
"grad_norm": 0.361328125,
|
| 1212 |
+
"learning_rate": 2.989080625791385e-05,
|
| 1213 |
+
"loss": 2.521739959716797,
|
| 1214 |
+
"step": 8600
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.9298075889498011,
|
| 1218 |
+
"grad_norm": 0.392578125,
|
| 1219 |
+
"learning_rate": 2.5813446071813796e-05,
|
| 1220 |
+
"loss": 2.4746855163574217,
|
| 1221 |
+
"step": 8650
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.9351821992905515,
|
| 1225 |
+
"grad_norm": 0.37109375,
|
| 1226 |
+
"learning_rate": 2.2031321674486404e-05,
|
| 1227 |
+
"loss": 2.493518829345703,
|
| 1228 |
+
"step": 8700
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.9405568096313017,
|
| 1232 |
+
"grad_norm": 0.44140625,
|
| 1233 |
+
"learning_rate": 1.854557927193834e-05,
|
| 1234 |
+
"loss": 2.505565490722656,
|
| 1235 |
+
"step": 8750
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.945931419972052,
|
| 1239 |
+
"grad_norm": 0.36328125,
|
| 1240 |
+
"learning_rate": 1.535727524901043e-05,
|
| 1241 |
+
"loss": 2.4721315002441404,
|
| 1242 |
+
"step": 8800
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.9513060303128024,
|
| 1246 |
+
"grad_norm": 0.365234375,
|
| 1247 |
+
"learning_rate": 1.2467375849230744e-05,
|
| 1248 |
+
"loss": 2.4928775024414063,
|
| 1249 |
+
"step": 8850
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.9566806406535526,
|
| 1253 |
+
"grad_norm": 0.40234375,
|
| 1254 |
+
"learning_rate": 9.876756881986637e-06,
|
| 1255 |
+
"loss": 2.4304910278320313,
|
| 1256 |
+
"step": 8900
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.9620552509943029,
|
| 1260 |
+
"grad_norm": 0.400390625,
|
| 1261 |
+
"learning_rate": 7.5862034571023695e-06,
|
| 1262 |
+
"loss": 2.5188467407226565,
|
| 1263 |
+
"step": 8950
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.9674298613350532,
|
| 1267 |
+
"grad_norm": 0.38671875,
|
| 1268 |
+
"learning_rate": 5.596409746905007e-06,
|
| 1269 |
+
"loss": 2.4998379516601563,
|
| 1270 |
+
"step": 9000
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.9728044716758035,
|
| 1274 |
+
"grad_norm": 0.3828125,
|
| 1275 |
+
"learning_rate": 3.9079787758492525e-06,
|
| 1276 |
+
"loss": 2.497935485839844,
|
| 1277 |
+
"step": 9050
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.9781790820165538,
|
| 1281 |
+
"grad_norm": 0.35546875,
|
| 1282 |
+
"learning_rate": 2.521422237765858e-06,
|
| 1283 |
+
"loss": 2.4823130798339843,
|
| 1284 |
+
"step": 9100
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.983553692357304,
|
| 1288 |
+
"grad_norm": 0.361328125,
|
| 1289 |
+
"learning_rate": 1.4371603407878909e-06,
|
| 1290 |
+
"loss": 2.502261047363281,
|
| 1291 |
+
"step": 9150
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.9889283026980544,
|
| 1295 |
+
"grad_norm": 0.4140625,
|
| 1296 |
+
"learning_rate": 6.555216800032682e-07,
|
| 1297 |
+
"loss": 2.4753712463378905,
|
| 1298 |
+
"step": 9200
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.9943029130388047,
|
| 1302 |
+
"grad_norm": 0.375,
|
| 1303 |
+
"learning_rate": 1.7674313787130468e-07,
|
| 1304 |
+
"loss": 2.470373229980469,
|
| 1305 |
+
"step": 9250
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.999677523379555,
|
| 1309 |
+
"grad_norm": 0.380859375,
|
| 1310 |
+
"learning_rate": 9.698124329160508e-10,
|
| 1311 |
+
"loss": 2.466358642578125,
|
| 1312 |
+
"step": 9300
|
| 1313 |
+
}
|
| 1314 |
+
],
|
| 1315 |
+
"logging_steps": 50,
|
| 1316 |
+
"max_steps": 9303,
|
| 1317 |
+
"num_input_tokens_seen": 0,
|
| 1318 |
+
"num_train_epochs": 1,
|
| 1319 |
+
"save_steps": 2500,
|
| 1320 |
+
"stateful_callbacks": {
|
| 1321 |
+
"TrainerControl": {
|
| 1322 |
+
"args": {
|
| 1323 |
+
"should_epoch_stop": false,
|
| 1324 |
+
"should_evaluate": false,
|
| 1325 |
+
"should_log": false,
|
| 1326 |
+
"should_save": true,
|
| 1327 |
+
"should_training_stop": true
|
| 1328 |
+
},
|
| 1329 |
+
"attributes": {}
|
| 1330 |
+
}
|
| 1331 |
+
},
|
| 1332 |
+
"total_flos": 1.803893635332096e+18,
|
| 1333 |
+
"train_batch_size": 32,
|
| 1334 |
+
"trial_name": null,
|
| 1335 |
+
"trial_params": null
|
| 1336 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1500d18889c998fab9d50a65fe90adce068740833c58bc31decf86f95d85c432
|
| 3 |
+
size 5201
|