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  1. README.md +74 -0
  2. generation_config.json +6 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/mt5-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: ALL_mt5-base_15_spider
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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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+ # ALL_mt5-base_15_spider
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+
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+ This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.7395
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+ - Rouge2 Precision: 0.397
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+ - Rouge2 Recall: 0.2374
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+ - Rouge2 Fmeasure: 0.2735
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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: 5e-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: 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: 15
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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+ |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
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+ | 7.6173 | 1.0 | 875 | 1.8215 | 0.3407 | 0.1794 | 0.2153 |
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+ | 0.2111 | 2.0 | 1750 | 3.9411 | 0.3658 | 0.2228 | 0.2572 |
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+ | 0.1338 | 3.0 | 2625 | 4.4136 | 0.3594 | 0.2184 | 0.2522 |
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+ | 0.105 | 4.0 | 3500 | 4.4853 | 0.3795 | 0.2302 | 0.264 |
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+ | 0.0923 | 5.0 | 4375 | 4.4951 | 0.3768 | 0.227 | 0.2606 |
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+ | 0.0771 | 6.0 | 5250 | 4.5377 | 0.3772 | 0.229 | 0.263 |
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+ | 0.0666 | 7.0 | 6125 | 4.5821 | 0.3995 | 0.2366 | 0.2732 |
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+ | 0.0581 | 8.0 | 7000 | 4.7276 | 0.4024 | 0.2375 | 0.2749 |
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+ | 0.0541 | 9.0 | 7875 | 4.6743 | 0.4072 | 0.2412 | 0.2789 |
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+ | 0.0495 | 10.0 | 8750 | 4.5628 | 0.3983 | 0.2387 | 0.2748 |
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+ | 0.0455 | 11.0 | 9625 | 4.5861 | 0.3942 | 0.2363 | 0.2722 |
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+ | 0.0428 | 12.0 | 10500 | 4.7071 | 0.3867 | 0.2364 | 0.2712 |
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+ | 0.0417 | 13.0 | 11375 | 4.7196 | 0.3971 | 0.2375 | 0.2739 |
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+ | 0.0396 | 14.0 | 12250 | 4.7196 | 0.3956 | 0.2371 | 0.2727 |
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+ | 0.0381 | 15.0 | 13125 | 4.7395 | 0.397 | 0.2374 | 0.2735 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
generation_config.json ADDED
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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": "4.36.2"
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+ }
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