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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: google-t5/t5-small
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: telugu_summary-T5-v2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # telugu_summary-T5-v2
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+
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+ This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2145
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+ - Rouge1: 0.0054
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+ - Rouge2: 0.0009
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+ - Rougel: 0.0054
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+ - Rougelsum: 0.0054
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+ - Gen Len: 19.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-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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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 0.231 | 1.0 | 1019 | 0.2225 | 0.0027 | 0.0007 | 0.0027 | 0.0028 | 19.0 |
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+ | 0.2221 | 2.0 | 2038 | 0.2191 | 0.0052 | 0.0011 | 0.0052 | 0.0052 | 19.0 |
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+ | 0.2187 | 3.0 | 3057 | 0.2159 | 0.0043 | 0.0007 | 0.0043 | 0.0043 | 19.0 |
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+ | 0.2172 | 4.0 | 4076 | 0.2150 | 0.006 | 0.0009 | 0.006 | 0.006 | 19.0 |
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+ | 0.2167 | 5.0 | 5095 | 0.2145 | 0.0054 | 0.0009 | 0.0054 | 0.0054 | 19.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.3
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.20.3
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.46.3"
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+ }
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