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End of training

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  1. README.md +65 -0
  2. generation_config.json +6 -0
  3. model.safetensors +1 -1
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/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: lr_3e-06_batch_4_epoch_3_model
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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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+ # lr_3e-06_batch_4_epoch_3_model
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+
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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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+ - Loss: 4.2864
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+ - Rouge-1: 17.4487
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+ - Rouge-2: 5.3286
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+ - Rouge-l: 15.6611
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+ - Gen Len: 17.1136
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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: 3e-06
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|
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+ | 6.8135 | 1.0 | 2714 | 4.6911 | 15.0067 | 4.0769 | 13.5509 | 18.9416 |
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+ | 5.8576 | 2.0 | 5428 | 4.3847 | 17.1486 | 5.1142 | 15.3434 | 17.8007 |
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+ | 5.7513 | 3.0 | 8142 | 4.2864 | 17.4487 | 5.3286 | 15.6611 | 17.1136 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.1.0
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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+ {
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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": "4.44.2"
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+ }
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