Model save
Browse files
README.md
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---
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license: apache-2.0
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base_model: google-t5/t5-small
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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: senate_bills_summary_model
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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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# senate_bills_summary_model
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9099
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- Rouge1: 0.2477
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- Rouge2: 0.1963
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- Rougel: 0.2407
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- Rougelsum: 0.2406
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- Gen Len: 18.9992
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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: 2e-05
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- train_batch_size: 14
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- eval_batch_size: 14
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 2.2318 | 1.0 | 749 | 1.9710 | 0.2475 | 0.1952 | 0.2405 | 0.2402 | 18.9985 |
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| 2.1782 | 2.0 | 1498 | 1.9331 | 0.2478 | 0.1959 | 0.2408 | 0.2406 | 18.9992 |
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| 2.1355 | 3.0 | 2247 | 1.9141 | 0.2479 | 0.1961 | 0.2409 | 0.2407 | 18.9992 |
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| 2.1079 | 4.0 | 2996 | 1.9099 | 0.2477 | 0.1963 | 0.2407 | 0.2406 | 18.9992 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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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": "4.40.1"
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}
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model.safetensors
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runs/May07_03-26-12_7c3b2edd5873/events.out.tfevents.1715052376.7c3b2edd5873.9866.2
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