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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: peft
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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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+ base_model: google-t5/t5-large
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+ model-index:
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+ - name: my_fine_tuning_summary_t5_large_IA_model_hf
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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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+ # my_fine_tuning_summary_t5_large_IA_model_hf
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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: nan
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+ - Rouge1: 0.1345
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+ - Rouge2: 0.0519
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+ - Rougel: 0.1119
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+ - Rougelsum: 0.112
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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: 1
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+ - eval_batch_size: 1
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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: 4
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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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+ | 0.0 | 1.0 | 989 | nan | 0.1345 | 0.0519 | 0.1119 | 0.112 | 19.0 |
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+ | 0.0 | 2.0 | 1978 | nan | 0.1345 | 0.0519 | 0.1119 | 0.112 | 19.0 |
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+ | 0.0 | 3.0 | 2967 | nan | 0.1345 | 0.0519 | 0.1119 | 0.112 | 19.0 |
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+ | 0.0 | 4.0 | 3956 | nan | 0.1345 | 0.0519 | 0.1119 | 0.112 | 19.0 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.8.2
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+ - Transformers 4.37.2
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.5
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+ - Tokenizers 0.15.2
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