End of training
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README.md
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---
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license: mit
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base_model: EleutherAI/gpt-neo-125m
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tags:
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- generated_from_trainer
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model-index:
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- name: gpt-neo-125m-finetuned-cummings-multiline
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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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# gpt-neo-125m-finetuned-cummings-multiline
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This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.4021
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: linear
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- num_epochs: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 190 | 4.5136 |
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| No log | 2.0 | 380 | 4.4400 |
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| 4.4082 | 3.0 | 570 | 4.4135 |
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| 4.4082 | 4.0 | 760 | 4.4025 |
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| 4.4082 | 5.0 | 950 | 4.3998 |
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| 4.0349 | 6.0 | 1140 | 4.4010 |
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| 4.0349 | 7.0 | 1330 | 4.4021 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.14.1
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.35.0"
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}
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model.safetensors
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runs/Nov26_18-34-48_88b1ee8befe8/events.out.tfevents.1701023701.88b1ee8befe8.47.0
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runs/Nov26_18-34-48_88b1ee8befe8/events.out.tfevents.1701024062.88b1ee8befe8.47.1
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