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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: TBD-LLaMA-1B-final_direction_reverberation |
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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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# TBD-LLaMA-1B-final_direction_reverberation |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7797 |
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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: 8e-06 |
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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: 4 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 4 |
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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_steps: 10 |
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- training_steps: 1884 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.8284 | 0.1061 | 200 | 0.7949 | |
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| 0.7729 | 0.2122 | 400 | 0.7919 | |
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| 0.7951 | 0.3183 | 600 | 0.7891 | |
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| 0.7963 | 0.4244 | 800 | 0.7865 | |
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| 0.7935 | 0.5306 | 1000 | 0.7838 | |
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| 0.8194 | 0.6367 | 1200 | 0.7824 | |
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| 0.8018 | 0.7428 | 1400 | 0.7808 | |
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| 0.8178 | 0.8489 | 1600 | 0.7800 | |
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| 0.7927 | 0.9550 | 1800 | 0.7797 | |
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### Framework versions |
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- Transformers 4.56.1 |
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- Pytorch 2.8.0a0+5228986c39.nv25.05 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.0 |
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