Model save
Browse files
README.md
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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: 6.4532
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- Bleu Score: 0.0009
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## Model description
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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:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size:
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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:
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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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| 7.9416 | 1.7544 | 50 | 6.4532 | 0.0009 |
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### Framework versions
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- Transformers 4.42.4
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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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## Model description
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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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### Framework versions
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- Transformers 4.42.4
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model.safetensors
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runs/Aug02_04-39-29_b29cf1564be4/events.out.tfevents.1722573585.b29cf1564be4.180.0
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training_args.bin
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