Model save
Browse files- README.md +9 -12
- all_results.json +7 -12
- runs/Sep05_22-24-45_COE-CS-sv003/events.out.tfevents.1725575476.COE-CS-sv003.17237.0 +2 -2
- train_results.json +7 -7
- trainer_state.json +1386 -462
README.md
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---
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license: apache-2.0
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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datasets:
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-
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model-index:
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- name: preference_p0.1_seed42_level2_style
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results: []
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# preference_p0.1_seed42_level2_style
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size:
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps:
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- total_train_batch_size:
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- total_eval_batch_size: 4
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.43.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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---
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license: apache-2.0
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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+
- generator
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model-index:
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- name: preference_p0.1_seed42_level2_style
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results: []
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# preference_p0.1_seed42_level2_style
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3182
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- total_eval_batch_size: 4
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.3624 | 0.9994 | 1210 | 0.3182 |
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### Framework versions
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- Transformers 4.43.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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all_results.json
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| 804 |
}
|
| 805 |
],
|
| 806 |
"logging_steps": 5,
|
| 807 |
-
"max_steps":
|
| 808 |
"num_input_tokens_seen": 0,
|
| 809 |
"num_train_epochs": 1,
|
| 810 |
"save_steps": 100,
|
|
@@ -820,8 +1744,8 @@
|
|
| 820 |
"attributes": {}
|
| 821 |
}
|
| 822 |
},
|
| 823 |
-
"total_flos":
|
| 824 |
-
"train_batch_size":
|
| 825 |
"trial_name": null,
|
| 826 |
"trial_params": null
|
| 827 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
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