Model save
Browse files- README.md +72 -0
- all_results.json +8 -0
- generation_config.json +10 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- train_results.json +8 -0
- trainer_state.json +226 -0
README.md
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---
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base_model: dmis-lab/selfbiorag_7b
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: selfbiorag-7b-dpo-full-wo-live_qa-ep3
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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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# selfbiorag-7b-dpo-full-wo-live_qa-ep3
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This model is a fine-tuned version of [dmis-lab/selfbiorag_7b](https://huggingface.co/dmis-lab/selfbiorag_7b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4252
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- Rewards/chosen: 0.5557
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- Rewards/rejected: -0.1385
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- Rewards/accuracies: 0.9891
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- Rewards/margins: 0.6942
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- Logps/rejected: -106.6720
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- Logps/chosen: -251.6549
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- Logits/rejected: -1.9692
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- Logits/chosen: -2.0004
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-07
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- total_eval_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.2874 | 2.63 | 100 | 0.4252 | 0.5557 | -0.1385 | 0.9891 | 0.6942 | -106.6720 | -251.6549 | -1.9692 | -2.0004 |
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.2.1+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.41232719756009284,
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"train_runtime": 892.3177,
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"train_samples": 4859,
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"train_samples_per_second": 16.336,
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"train_steps_per_second": 0.128
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"do_sample": true,
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"eos_token_id": 2,
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"max_length": 4096,
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"pad_token_id": 0,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.39.0.dev0"
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}
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model-00001-of-00003.safetensors
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size 4939116424
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model-00002-of-00003.safetensors
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model-00003-of-00003.safetensors
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model.safetensors.index.json
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