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Sandipan1994
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flan-t5-base-finetuned-FOMC

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
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Sandipan1994 commited on
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End of training

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Files changed (8) hide show
  1. README.md +93 -0
  2. config.json +62 -0
  3. generation_config.json +6 -0
  4. pytorch_model.bin +3 -0
  5. special_tokens_map.json +107 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +112 -0
  8. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/flan-t5-base
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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-base-finetuned-FOMC
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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-t5-base-finetuned-FOMC
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+
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+ This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.2531
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+ - Rouge1: 33.7697
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+ - Rouge2: 20.9968
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+ - Rougel: 30.2984
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+ - Rougelsum: 30.5446
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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: 16
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+ - eval_batch_size: 16
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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: 30
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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 | 10 | 2.6231 | 31.9634 | 19.4463 | 28.9802 | 29.3026 | 19.0 |
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+ | No log | 2.0 | 20 | 2.5645 | 31.6125 | 19.0593 | 28.572 | 28.9666 | 19.0 |
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+ | No log | 3.0 | 30 | 2.5120 | 31.9437 | 19.4395 | 28.9629 | 29.2817 | 19.0 |
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+ | No log | 4.0 | 40 | 2.4752 | 30.874 | 18.8778 | 27.8613 | 28.3752 | 19.0 |
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+ | No log | 5.0 | 50 | 2.4449 | 30.4001 | 18.425 | 27.2624 | 27.939 | 19.0 |
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+ | No log | 6.0 | 60 | 2.4177 | 31.0542 | 19.1125 | 27.9874 | 28.6255 | 19.0 |
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+ | No log | 7.0 | 70 | 2.3935 | 31.0542 | 19.1125 | 27.9874 | 28.6255 | 19.0 |
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+ | No log | 8.0 | 80 | 2.3778 | 31.0542 | 19.1125 | 27.9874 | 28.6255 | 19.0 |
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+ | No log | 9.0 | 90 | 2.3565 | 31.0542 | 19.1125 | 27.9874 | 28.6255 | 19.0 |
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+ | No log | 10.0 | 100 | 2.3415 | 31.0542 | 19.1125 | 27.9874 | 28.6255 | 19.0 |
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+ | No log | 11.0 | 110 | 2.3296 | 32.2319 | 19.728 | 29.1471 | 29.4452 | 19.0 |
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+ | No log | 12.0 | 120 | 2.3206 | 32.5462 | 19.9463 | 29.5345 | 29.6243 | 19.0 |
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+ | No log | 13.0 | 130 | 2.3123 | 32.5462 | 19.9463 | 29.5345 | 29.6243 | 19.0 |
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+ | No log | 14.0 | 140 | 2.3034 | 32.5462 | 19.9463 | 29.5345 | 29.3859 | 19.0 |
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+ | No log | 15.0 | 150 | 2.2966 | 32.5462 | 19.9463 | 29.5345 | 29.3859 | 19.0 |
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+ | No log | 16.0 | 160 | 2.2882 | 32.5462 | 19.9463 | 29.5345 | 29.3859 | 19.0 |
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+ | No log | 17.0 | 170 | 2.2813 | 32.5462 | 19.9463 | 29.5345 | 29.3859 | 19.0 |
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+ | No log | 18.0 | 180 | 2.2772 | 33.7697 | 20.9968 | 30.2984 | 30.5446 | 19.0 |
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+ | No log | 19.0 | 190 | 2.2728 | 33.7697 | 20.9968 | 30.2984 | 30.5446 | 19.0 |
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+ | No log | 20.0 | 200 | 2.2683 | 33.7697 | 20.9968 | 30.2984 | 30.5446 | 19.0 |
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+ | No log | 21.0 | 210 | 2.2643 | 33.7697 | 20.9968 | 30.2984 | 30.5446 | 19.0 |
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+ | No log | 22.0 | 220 | 2.2627 | 33.7697 | 20.9968 | 30.2984 | 30.5446 | 19.0 |
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+ | No log | 23.0 | 230 | 2.2615 | 33.7697 | 20.9968 | 30.2984 | 30.5446 | 19.0 |
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+ | No log | 24.0 | 240 | 2.2586 | 33.7697 | 20.9968 | 30.2984 | 30.5446 | 19.0 |
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+ | No log | 25.0 | 250 | 2.2573 | 33.7697 | 20.9968 | 30.2984 | 30.5446 | 19.0 |
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+ | No log | 26.0 | 260 | 2.2560 | 33.7697 | 20.9968 | 30.2984 | 30.5446 | 19.0 |
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+ | No log | 27.0 | 270 | 2.2552 | 33.7697 | 20.9968 | 30.2984 | 30.5446 | 19.0 |
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+ | No log | 28.0 | 280 | 2.2542 | 33.7697 | 20.9968 | 30.2984 | 30.5446 | 19.0 |
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+ | No log | 29.0 | 290 | 2.2533 | 33.7697 | 20.9968 | 30.2984 | 30.5446 | 19.0 |
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+ | No log | 30.0 | 300 | 2.2531 | 33.7697 | 20.9968 | 30.2984 | 30.5446 | 19.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.1
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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