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End of training

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  1. README.md +71 -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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+ metrics:
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+ - rouge
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+ - bleu
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+ model-index:
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+ - name: mt5-small-qa_v1
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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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+ # mt5-small-qa_v1
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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: 1.6372
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+ - Rouge1: 0.5721
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+ - Rouge2: 0.3243
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+ - Rougel: 0.5725
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+ - Rougelsum: 0.5724
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+ - Bleu: 0.3814
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+ - Exact Match: 0.3603
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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: 0.0003
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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: 5
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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 | Bleu | Exact Match |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|:-----------:|
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+ | 1.0978 | 1.0 | 2000 | 1.3417 | 0.4865 | 0.2751 | 0.4870 | 0.4866 | 0.3224 | 0.303 |
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+ | 0.5522 | 2.0 | 4000 | 1.3407 | 0.5204 | 0.3103 | 0.5204 | 0.5204 | 0.3227 | 0.2975 |
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+ | 0.3335 | 3.0 | 6000 | 1.4075 | 0.5602 | 0.3137 | 0.5601 | 0.5601 | 0.3561 | 0.3335 |
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+ | 0.1968 | 4.0 | 8000 | 1.5646 | 0.5753 | 0.3183 | 0.5755 | 0.5754 | 0.3731 | 0.3653 |
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+ | 0.1331 | 5.0 | 10000 | 1.6372 | 0.5721 | 0.3243 | 0.5725 | 0.5724 | 0.3814 | 0.3603 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.1
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+ - Pytorch 2.4.0
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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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": "4.45.1"
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+ }
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