Model save
Browse files- README.md +8 -13
- all_results.json +6 -11
- runs/Aug08_10-30-50_main-soft-horse-1-0-0/events.out.tfevents.1723127707.main-soft-horse-1-0-0.543.0 +2 -2
- train_results.json +6 -6
- trainer_state.json +153 -1445
README.md
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---
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base_model: meta-llama/Meta-Llama-3-8B
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datasets:
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library_name: peft
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license: llama3
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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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# llama3-8b-classification-gpt4o-100k2
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 4
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- eval_batch_size:
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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: 2
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- total_train_batch_size: 32
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- total_eval_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type:
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.
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| 1.31 | 2.0 | 451 | 1.7869 |
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| 1.2416 | 2.9978 | 676 | 1.8242 |
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| 1.1447 | 4.0 | 902 | 1.9029 |
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| 1.098 | 4.9889 | 1125 | 1.9855 |
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### Framework versions
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---
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base_model: meta-llama/Meta-Llama-3-8B
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datasets:
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+
- generator
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library_name: peft
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license: llama3
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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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# llama3-8b-classification-gpt4o-100k2
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7732
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 2
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- total_train_batch_size: 32
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- total_eval_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.3767 | 0.9978 | 225 | 1.7732 |
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### Framework versions
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all_results.json
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|
| 349 |
}
|
| 350 |
],
|
| 351 |
"logging_steps": 5,
|
| 352 |
+
"max_steps": 225,
|
| 353 |
"num_input_tokens_seen": 0,
|
| 354 |
+
"num_train_epochs": 1,
|
| 355 |
"save_steps": 100,
|
| 356 |
"stateful_callbacks": {
|
| 357 |
"TrainerControl": {
|
|
|
|
| 365 |
"attributes": {}
|
| 366 |
}
|
| 367 |
},
|
| 368 |
+
"total_flos": 3.3259687694984806e+17,
|
| 369 |
"train_batch_size": 4,
|
| 370 |
"trial_name": null,
|
| 371 |
"trial_params": null
|