79 lines
2.2 KiB
Markdown
79 lines
2.2 KiB
Markdown
---
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license: mit
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base_model: gpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: LLM_TRAINING
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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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# LLM_TRAINING
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1049
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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: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 512
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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: 10
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 5.1795 | 0.25 | 10 | 3.6578 |
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| 2.9896 | 0.5 | 20 | 2.2492 |
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| 2.0979 | 0.75 | 30 | 1.7208 |
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| 1.754 | 1.0 | 40 | 1.4856 |
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| 1.544 | 1.25 | 50 | 1.3701 |
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| 1.4369 | 1.5 | 60 | 1.2945 |
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| 1.3826 | 1.76 | 70 | 1.2557 |
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| 1.3657 | 2.01 | 80 | 1.2247 |
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| 1.3064 | 2.26 | 90 | 1.1987 |
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| 1.2619 | 2.51 | 100 | 1.1778 |
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| 1.2493 | 2.76 | 110 | 1.1623 |
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| 1.2498 | 3.01 | 120 | 1.1464 |
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| 1.2126 | 3.26 | 130 | 1.1308 |
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| 1.1972 | 3.51 | 140 | 1.1242 |
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| 1.1776 | 3.76 | 150 | 1.1169 |
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| 1.1826 | 4.01 | 160 | 1.1121 |
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| 1.1623 | 4.26 | 170 | 1.1089 |
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| 1.1468 | 4.51 | 180 | 1.1063 |
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| 1.1594 | 4.76 | 190 | 1.1049 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.3
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- Tokenizers 0.13.3
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