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
Ben Buddendorff commited on
Commit ·
9548349
1
Parent(s): 352c3ca
train_residue_list_lr_3e-4_epochs_4
Browse files- README.md +17 -19
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- all_results.json +11 -11
- eval_results.json +6 -6
- model_eval_results.csv +0 -0
- trainer_log.jsonl +0 -0
- trainer_state.json +572 -941
- training_args.bin +2 -2
- training_eval_loss.png +2 -2
- training_loss.png +2 -2
README.md
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [GreatCaptainNemo/ProLLaMA_Stage_1](https://huggingface.co/GreatCaptainNemo/ProLLaMA_Stage_1) on the adpr_train dataset.
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- train_batch_size: 16
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- seed: 42
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- total_train_batch_size: 128
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.
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- Pytorch 2.3.1+cu121
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- Datasets 3.5.0
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- lora
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- generated_from_trainer
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model-index:
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- name: train_residue_list_lr_3e-4_epochs_4
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# train_residue_list_lr_3e-4_epochs_4
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This model is a fine-tuned version of [GreatCaptainNemo/ProLLaMA_Stage_1](https://huggingface.co/GreatCaptainNemo/ProLLaMA_Stage_1) on the adpr_train dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2245
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- Num Input Tokens Seen: 10733712
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- total_train_batch_size: 128
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 40
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- num_epochs: 4.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:|
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| 0.4689 | 0.4561 | 100 | 0.4738 | 1230464 |
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| 0.4141 | 0.9122 | 200 | 0.4266 | 2455680 |
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| 0.3463 | 1.3649 | 300 | 0.3486 | 3673744 |
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| 0.3069 | 1.8210 | 400 | 0.3009 | 4901648 |
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| 0.2464 | 2.2737 | 500 | 0.2616 | 6120272 |
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| 0.2138 | 2.7298 | 600 | 0.2381 | 7348944 |
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| 0.1573 | 3.1824 | 700 | 0.2320 | 8570128 |
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| 0.1488 | 3.6385 | 800 | 0.2253 | 9801744 |
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.51.3
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- Pytorch 2.3.1+cu121
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- Datasets 3.5.0
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|
| 1493 |
}
|
| 1494 |
],
|
| 1495 |
"logging_steps": 5,
|
| 1496 |
+
"max_steps": 876,
|
| 1497 |
+
"num_input_tokens_seen": 10733712,
|
| 1498 |
+
"num_train_epochs": 4,
|
| 1499 |
"save_steps": 3000,
|
| 1500 |
"stateful_callbacks": {
|
| 1501 |
"TrainerControl": {
|
|
|
|
| 1509 |
"attributes": {}
|
| 1510 |
}
|
| 1511 |
},
|
| 1512 |
+
"total_flos": 4.35826368961708e+17,
|
| 1513 |
"train_batch_size": 16,
|
| 1514 |
"trial_name": null,
|
| 1515 |
"trial_params": null
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa1e0664877bfd3e60ffadd0a5980c4aa10cf847bec512de8baf0384073aad2a
|
| 3 |
+
size 5752
|
training_eval_loss.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
training_loss.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|