69 lines
1.7 KiB
Markdown
69 lines
1.7 KiB
Markdown
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---
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library_name: transformers
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license: other
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base_model: meta-llama/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: ds3full_pretrain
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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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# ds3full_pretrain
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This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the cpt_jazz_v3, the cpt_jazz_v3_copy, the cpt_opensource_v3 and the cpt_local_v3 datasets.
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It achieves the following results on the evaluation set:
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- Loss: 1.1027
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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-05
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- train_batch_size: 1
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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: 8
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- gradient_accumulation_steps: 32
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- total_train_batch_size: 256
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- total_eval_batch_size: 8
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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_ratio: 0.03
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- num_epochs: 1.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.1993 | 0.3176 | 200 | 1.1916 |
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| 1.1243 | 0.6351 | 400 | 1.1279 |
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| 1.1059 | 0.9527 | 600 | 1.1028 |
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.9.1+cu128
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- Datasets 4.0.0
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- Tokenizers 0.22.1
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