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README.md ADDED
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+ ---
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+ base_model: ybelkada/flan-t5-xl-sharded-bf16
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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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+ model-index:
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+ - name: flan-xl-gen5
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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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+ # flan-xl-gen5
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+
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+ This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7669
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+ - Rouge1: 24.6538
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+ - Rouge2: 17.821
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+ - Rougel: 21.5884
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+ - Rougelsum: 21.9045
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+ - Gen Len: 13.0515
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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: 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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+ - lr_scheduler_warmup_steps: 500
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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 | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | No log | 1.0 | 328 | 24.8987 | 29.9366 | 22.9687 | 26.9975 | 27.1774 | 11.1203 |
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+ | 25.467 | 2.0 | 656 | 1.3504 | 51.142 | 49.8705 | 51.1588 | 51.1528 | 0.0 |
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+ | 25.467 | 3.0 | 984 | 0.8221 | 19.5594 | 12.7325 | 16.4586 | 16.7605 | 14.9278 |
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+ | 1.8759 | 4.0 | 1312 | 0.7783 | 21.8348 | 14.9645 | 18.7764 | 19.0709 | 14.1100 |
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+ | 0.8715 | 5.0 | 1640 | 0.7669 | 24.6538 | 17.821 | 21.5884 | 21.9045 | 13.0515 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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