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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_16 |
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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_16 |
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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: 2.5463 |
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## Model description |
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Trained on single ID token 5K dataset filtered to 10k sequences (20% for test data = 2000) |
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lora_alpha = 128 |
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lora_dropout = 0.1 |
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lora_r = 128 |
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epochs = 3 |
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learning rate = 3e-4 |
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warmup_steps=200 |
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gradient_accumulation_steps = 1 |
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train_batch = 2 |
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eval_batch = 2 |
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ONLY on attention layers and MLPs of last 31 layers <-------------------- |
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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: 2 |
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- eval_batch_size: 2 |
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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: 500 |
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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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| 2.8598 | 0.4998 | 1999 | 2.6289 | |
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| 2.5927 | 0.9995 | 3998 | 2.5852 | |
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| 2.5467 | 1.4992 | 5997 | 2.5717 | |
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| 2.5487 | 1.999 | 7996 | 2.5554 | |
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| 2.4987 | 2.4988 | 9995 | 2.5546 | |
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| 2.4934 | 2.9985 | 11994 | 2.5463 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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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 |
