Model save
Browse files- README.md +11 -14
- generation_config.json +1 -1
README.md
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@@ -4,7 +4,6 @@ license: llama3.1
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base_model: meta-llama/Meta-Llama-3.1-8B
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: oh-dcft-v3.1-gpt-4o-mini
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@@ -16,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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# oh-dcft-v3.1-gpt-4o-mini
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on
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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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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices:
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- gradient_accumulation_steps:
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- total_train_batch_size: 512
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- total_eval_batch_size:
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- optimizer:
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.1
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- lr_scheduler_warmup_steps: 1738
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.
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| 0.
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| 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.3.0
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- Datasets
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- Tokenizers 0.20.3
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base_model: meta-llama/Meta-Llama-3.1-8B
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tags:
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- llama-factory
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- generated_from_trainer
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model-index:
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- name: oh-dcft-v3.1-gpt-4o-mini
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# oh-dcft-v3.1-gpt-4o-mini
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6408
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## Model description
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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: 8
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- total_train_batch_size: 512
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- total_eval_batch_size: 64
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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: constant
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.648 | 0.9985 | 422 | 0.6504 |
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| 0.5984 | 1.9997 | 845 | 0.6400 |
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| 0.5714 | 2.9962 | 1266 | 0.6408 |
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.3.0
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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generation_config.json
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"eos_token_id": 128001,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.
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}
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"eos_token_id": 128001,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.46.1"
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}
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