Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: dandelin/vilt-b32-mlm
+tags:
+- generated_from_trainer
+model-index:
+- name: results2
+  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. -->
+
+# results2
+
+This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 53.7912
+- Bleu Score: {'bleu': 0.0, 'precisions': [0.5786516853932584, 0.0, 0.0, 0.0], 'brevity_penalty': 0.0015814103520051996, 'length_ratio': 0.13423831070889894, 'translation_length': 712, 'reference_length': 5304}
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu Score                                                                                                                                                                                           |
+|:-------------:|:-----:|:----:|:---------------:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
+| 611.4564      | 1.0   | 63   | 163.9706        | {'bleu': 0.0, 'precisions': [0.0, 0.0, 0.0, 0.0], 'brevity_penalty': 5.701223175160721e-08, 'length_ratio': 0.05656108597285068, 'translation_length': 300, 'reference_length': 5304}                |
+| 130.132       | 2.0   | 126  | 63.4101         | {'bleu': 0.0, 'precisions': [0.6240601503759399, 0.0, 0.0, 0.0], 'brevity_penalty': 0.0035294383040863748, 'length_ratio': 0.1504524886877828, 'translation_length': 798, 'reference_length': 5304}  |
+| 57.0285       | 3.0   | 189  | 53.7912         | {'bleu': 0.0, 'precisions': [0.5786516853932584, 0.0, 0.0, 0.0], 'brevity_penalty': 0.0015814103520051996, 'length_ratio': 0.13423831070889894, 'translation_length': 712, 'reference_length': 5304} |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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