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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: togethercomputer/evo-1-8k-base |
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model-index: |
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- name: lora_evo_ta_all_layers_10 |
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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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# lora_evo_ta_all_layers_10 |
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This model is a fine-tuned version of [togethercomputer/evo-1-8k-base](https://huggingface.co/togethercomputer/evo-1-8k-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9544 |
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## Model description |
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*Good model* with A100 |
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lora_alpha = 512 <---- 2x than that in model 9 (total 4x) |
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lora_dropout = 0.05 |
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lora_r = 128 <---- same as model 9 |
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epochs = 3 |
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learning rate = 3e-4 |
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warmup_steps=10 |
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gradient_accumulation_steps = 8 |
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train_batch = 1 |
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eval_batch = 1 |
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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: 0.0003 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.0259 | 1.0 | 266 | 2.9633 | |
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| 2.8429 | 2.0 | 532 | 2.9493 | |
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| 2.688 | 3.0 | 798 | 2.9544 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
