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End of training
Browse files- README.md +9 -13
- model.safetensors +1 -1
README.md
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base_model: google/mt5-small
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: mt5-small-finetuned-en-to-hi
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results: []
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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## Model description
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- seed: 42
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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 | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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| 3.8437 | 1.0 | 20322 | 3.1833 | 0.8678 | 4.7065 |
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### Framework versions
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- Transformers 4.36.2
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base_model: google/mt5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: mt5-small-finetuned-en-to-hi
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results: []
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 5.5348
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- eval_bleu: 0.0
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- eval_gen_len: 2.0828
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- eval_runtime: 96.4745
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- eval_samples_per_second: 68.091
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- eval_steps_per_second: 2.135
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- epoch: 0.05
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- step: 1000
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## Model description
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- seed: 42
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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: 3
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.36.2
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model.safetensors
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size 1200729512
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version https://git-lfs.github.com/spec/v1
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size 1200729512
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