Model save
Browse files- README.md +69 -0
- adapter_model.safetensors +1 -1
README.md
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---
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license: mit
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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: EleutherAI/gpt-neo-125m
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metrics:
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- accuracy
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model-index:
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- name: mod_dep_fl-PEFT_mix-instruct
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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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# mod_dep_fl-PEFT_mix-instruct
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This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5502
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- Accuracy: -1701.4273
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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: 0.005
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:----------:|
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| 4.5917 | 0.9524 | 10 | 2.8083 | -1780.3744 |
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| 3.7289 | 2.0 | 21 | 2.6099 | -1691.0399 |
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| 3.548 | 2.9524 | 31 | 2.5788 | -1751.4823 |
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| 3.5153 | 4.0 | 42 | 2.5515 | -1766.1752 |
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| 3.4735 | 4.7619 | 50 | 2.5502 | -1701.4273 |
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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 2.19.2
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 2365872
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version https://git-lfs.github.com/spec/v1
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size 2365872
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