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update model card 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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+
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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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+
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+ # codeparrot-ds-500sample-gpt-neo-2ep
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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