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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: codeparrot-ds-500sample-gpt-neo-2ep
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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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# codeparrot-ds-500sample-gpt-neo-2ep
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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: 1.5483
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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: 0.0005
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 2
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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 |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 4.5248 | 0.19 | 1000 | 2.9757 |
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| 2.5422 | 0.37 | 2000 | 2.4397 |
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| 2.1642 | 0.56 | 3000 | 2.1880 |
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| 1.9135 | 0.74 | 4000 | 1.9884 |
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| 1.7236 | 0.93 | 5000 | 1.8470 |
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| 1.5459 | 1.11 | 6000 | 1.7501 |
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| 1.4363 | 1.3 | 7000 | 1.6761 |
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| 1.3639 | 1.49 | 8000 | 1.6105 |
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| 1.3046 | 1.67 | 9000 | 1.5667 |
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| 1.273 | 1.86 | 10000 | 1.5483 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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