Model save

README.md

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+---
+license: mit
+base_model: microsoft/git-base
+tags:
+- generated_from_trainer
+model-index:
+- name: git-base-cartoon
+ results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# git-base-cartoon
+
+This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0646
+- Bleu Score: 0.0501
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu Score |
+|:-------------:|:------:|:----:|:---------------:|:----------:|
+| 7.4395 | 1.7544 | 50 | 4.7486 | 0.0011 |
+| 2.8193 | 3.5088 | 100 | 0.9704 | 0.0094 |
+| 0.4044 | 5.2632 | 150 | 0.1138 | 0.0588 |
+| 0.0733 | 7.0175 | 200 | 0.0661 | 0.0438 |
+| 0.0434 | 8.7719 | 250 | 0.0646 | 0.0501 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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