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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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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - samsum
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: flan_t5_small_finetuned
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: samsum
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+ type: samsum
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+ config: samsum
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+ split: train[:50]
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+ args: samsum
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+ metrics:
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+ - name: Rouge1
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+ type: rouge
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+ value: 44.9038
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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_t5_small_finetuned
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+
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+ This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the samsum dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3412
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+ - Rouge1: 44.9038
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+ - Rouge2: 22.7667
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+ - Rougel: 38.8789
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+ - Rougelsum: 41.7196
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+ - Gen Len: 16.92
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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: 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 | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | No log | 1.0 | 7 | 1.4537 | 43.8958 | 21.4426 | 37.7876 | 41.0621 | 17.4 |
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+ | No log | 2.0 | 14 | 1.4025 | 44.291 | 21.7752 | 37.6394 | 41.0092 | 17.1 |
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+ | No log | 3.0 | 21 | 1.3687 | 44.5803 | 22.5489 | 38.5959 | 41.6202 | 17.0 |
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+ | No log | 4.0 | 28 | 1.3487 | 44.6139 | 22.5884 | 38.6786 | 41.5311 | 16.94 |
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+ | No log | 5.0 | 35 | 1.3412 | 44.9038 | 22.7667 | 38.8789 | 41.7196 | 16.92 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.2
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+ - Pytorch 1.13.1+cpu
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3
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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": "4.30.2"
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+ }
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