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README.md
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# gbharathi80/mt5-small-finetuned-amazon-en-es
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an
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It achieves the following results on the evaluation set:
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- Train Loss: 4.2325
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- Validation Loss: 3.4452
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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# gbharathi80/mt5-small-finetuned-amazon-en-es
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an amazon reviews dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 4.2325
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- Validation Loss: 3.4452
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## Model description
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This is a fine-tuned version of the google/mt5-small model for translation tasks from English to Spanish for text summarization
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## Intended uses & limitations
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multi lingual text summarization. model trained using spanish and english revirwes
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## Training and evaluation data
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DatasetDict({
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train: Dataset({
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features: ['review_id', 'product_id', 'reviewer_id', 'stars', 'review_body', 'review_title', 'language', 'product_category'],
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num_rows: 200000
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})
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validation: Dataset({
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features: ['review_id', 'product_id', 'reviewer_id', 'stars', 'review_body', 'review_title', 'language', 'product_category'],
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num_rows: 5000
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})
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test: Dataset({
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features: ['review_id', 'product_id', 'reviewer_id', 'stars', 'review_body', 'review_title', 'language', 'product_category'],
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num_rows: 5000
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})
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})
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## Training procedure
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