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question-generation-auto-t5-v1-base-s

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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:
@@ -14,13 +13,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # t5-v1_1-base-squadV2AutoQgen
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- This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5863
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- - Rouge1: 0.1449
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- - Rouge2: 0.0701
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- - Rougel: 0.1268
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- - Rougelsum: 0.1397
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 4
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  - eval_batch_size: 4
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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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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
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- | 2.0146 | 1.0 | 4758 | 1.6980 | 0.143 | 0.0705 | 0.1257 | 0.1384 |
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- | 1.8197 | 2.0 | 9516 | 1.6290 | 0.1479 | 0.0716 | 0.1293 | 0.143 |
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- | 1.7023 | 3.0 | 14274 | 1.5961 | 0.1453 | 0.0711 | 0.1276 | 0.1402 |
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- | 1.6314 | 4.0 | 19032 | 1.5863 | 0.1449 | 0.0701 | 0.1268 | 0.1397 |
 
 
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  ### Framework versions
 
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  ---
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # t5-v1_1-base-squadV2AutoQgen
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+ This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6476
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+ - Rouge1: 0.1407
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+ - Rouge2: 0.0716
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+ - Rougel: 0.1245
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+ - Rougelsum: 0.1356
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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  - train_batch_size: 4
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  - eval_batch_size: 4
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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: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | 1.628 | 1.0 | 4758 | 1.6606 | 0.1404 | 0.0711 | 0.1242 | 0.136 |
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+ | 1.4999 | 2.0 | 9516 | 1.6372 | 0.1443 | 0.0727 | 0.1272 | 0.1389 |
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+ | 1.3838 | 3.0 | 14274 | 1.6311 | 0.1427 | 0.0719 | 0.1254 | 0.1375 |
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+ | 1.2908 | 4.0 | 19032 | 1.6260 | 0.1383 | 0.0705 | 0.1231 | 0.1335 |
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+ | 1.1733 | 5.0 | 23790 | 1.6319 | 0.1404 | 0.0718 | 0.1239 | 0.1351 |
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+ | 1.1225 | 6.0 | 28548 | 1.6476 | 0.1407 | 0.0716 | 0.1245 | 0.1356 |
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  ### Framework versions