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  1. README.md +69 -0
  2. generation_config.json +6 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google-t5/t5-large
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: adversarial_qa_dbert_based_on
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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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+ # adversarial_qa_dbert_based_on
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+
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+ This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1381
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+ - Exact Match: 0.3467
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+ - Bleu: 0.3083
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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: 0.0002
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+ - train_batch_size: 2
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - total_train_batch_size: 8
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+ - total_eval_batch_size: 64
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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: 5.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Exact Match | Bleu |
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+ |:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|
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+ | 1.0162 | 1.0 | 63 | 0.7607 | 0.2754 | 0.2749 |
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+ | 0.3929 | 2.0 | 126 | 0.7943 | 0.2959 | 0.2412 |
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+ | 0.1542 | 3.0 | 189 | 1.0053 | 0.3018 | 0.2720 |
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+ | 0.0544 | 4.0 | 252 | 1.1005 | 0.3457 | 0.3185 |
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+ | 0.0239 | 5.0 | 315 | 1.1381 | 0.3467 | 0.3083 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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": "4.41.2"
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+ }