Model save
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- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: microsoft/git-base
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tags:
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- generated_from_trainer
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model-index:
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- name: git-base-cartoon
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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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# git-base-cartoon
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0646
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- Bleu Score: 0.0501
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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: 5e-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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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: 10
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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 | Bleu Score |
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|:-------------:|:------:|:----:|:---------------:|:----------:|
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| 7.4395 | 1.7544 | 50 | 4.7486 | 0.0011 |
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| 2.8193 | 3.5088 | 100 | 0.9704 | 0.0094 |
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| 0.4044 | 5.2632 | 150 | 0.1138 | 0.0588 |
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| 0.0733 | 7.0175 | 200 | 0.0661 | 0.0438 |
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| 0.0434 | 8.7719 | 250 | 0.0646 | 0.0501 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 706516040
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version https://git-lfs.github.com/spec/v1
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size 706516040
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