End of training
Browse files- README.md +69 -0
- all_results.json +13 -0
- eval_results.json +13 -0
- generation_config.json +6 -0
- runs/Mar21_20-16-26_2cb866a45777/events.out.tfevents.1679429795.2cb866a45777.24872.0 +2 -2
    	
        README.md
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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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            metrics:
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            - rouge
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            model-index:
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            - name: flan-t5-small-botco_QA-finetuned-question-generation-context-only
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              results: []
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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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            # flan-t5-small-botco_QA-finetuned-question-generation-context-only
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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 None dataset.
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            It achieves the following results on the evaluation set:
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            - Loss: 2.0952
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            - Rouge1: 83.429
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            - Rouge2: 80.1583
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            - Rougel: 80.2037
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            - Rougelsum: 83.2421
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            - Bleu-4: 62.4017
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            - Meteor: 87.7448
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            - Gen Len: 45.3499
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            ## Model description
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            More information needed
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            ## Intended uses & limitations
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            More information needed
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            ## Training and evaluation data
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            More information needed
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            ## Training procedure
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            ### Training hyperparameters
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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: 2
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            - eval_batch_size: 2
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            - seed: 42
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            - gradient_accumulation_steps: 32
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            - total_train_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: 6
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            - label_smoothing_factor: 0.1
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            ### Training results
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            | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu-4  | Meteor  | Gen Len |
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            |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|
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            | 2.6539        | 2.33  | 50   | 2.2360          | 82.6627 | 79.5849 | 79.46   | 82.5244   | 57.5926 | 86.8675 | 49.0233 |
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            | 2.212         | 4.66  | 100  | 2.0952          | 83.429  | 80.1583 | 80.2037 | 83.2421   | 62.4017 | 87.7448 | 45.3499 |
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            ### Framework versions
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            - Transformers 4.27.2
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            - Pytorch 1.13.1+cu116
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            - Datasets 2.10.1
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            - Tokenizers 0.13.2
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            {
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                "dev_bleu-4": 62.4017,
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                "dev_gen_len": 45.3499,
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                "dev_loss": 2.095249891281128,
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                "dev_meteor": 87.7448,
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                "dev_rouge1": 83.429,
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                "dev_rouge2": 80.1583,
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                "dev_rougeL": 80.2037,
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                "dev_rougeLsum": 83.2421,
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                "dev_runtime": 180.5297,
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                "dev_samples_per_second": 1.9,
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                "dev_steps_per_second": 0.953
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            }
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            {
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                "dev_bleu-4": 62.4017,
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                "dev_gen_len": 45.3499,
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                "dev_loss": 2.095249891281128,
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                "dev_meteor": 87.7448,
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                "dev_rouge1": 83.429,
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                "dev_rouge2": 80.1583,
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                "dev_rougeL": 80.2037,
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                "dev_rougeLsum": 83.2421,
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                "dev_runtime": 180.5297,
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                "dev_samples_per_second": 1.9,
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                "dev_steps_per_second": 0.953
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            }
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        generation_config.json
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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": "4.27.2"
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            }
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