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End of training

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  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. tokenizer.json +2 -16
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1182
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- - Rouge: 0.1742
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- - Meteor: 0.1156
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  ## Model description
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@@ -39,7 +39,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.00020976432527787498
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  - train_batch_size: 1
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  - eval_batch_size: 1
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  - seed: 42
@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge | Meteor |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | 19.7601 | 0.1 | 25 | 2.3028 | 0.0 | 0.0 |
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- | 1.414 | 0.2 | 50 | 0.2878 | 0.0492 | 0.0322 |
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- | 0.8046 | 0.3 | 75 | 0.1548 | 0.1159 | 0.0784 |
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- | 1.5576 | 0.4 | 100 | 0.1288 | 0.1395 | 0.0944 |
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- | 0.5364 | 0.5 | 125 | 0.1246 | 0.1534 | 0.1030 |
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- | 0.4573 | 0.6 | 150 | 0.1220 | 0.1671 | 0.1111 |
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- | 0.4605 | 0.7 | 175 | 0.1203 | 0.1658 | 0.1102 |
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- | 0.4503 | 0.8 | 200 | 0.1190 | 0.1693 | 0.1108 |
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- | 0.4515 | 0.9 | 225 | 0.1186 | 0.1737 | 0.1155 |
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- | 0.4641 | 1.0 | 250 | 0.1182 | 0.1742 | 0.1156 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9329
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+ - Rouge: 0.1619
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+ - Meteor: 0.1091
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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: 0.00021414319413263157
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  - train_batch_size: 1
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  - eval_batch_size: 1
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge | Meteor |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 8.9561 | 0.1 | 25 | 2.1054 | 0.1332 | 0.0870 |
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+ | 8.0871 | 0.2 | 50 | 2.0333 | 0.1512 | 0.0986 |
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+ | 7.8116 | 0.3 | 75 | 2.0106 | 0.1457 | 0.0949 |
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+ | 7.1444 | 0.4 | 100 | 1.9853 | 0.1500 | 0.0989 |
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+ | 7.333 | 0.5 | 125 | 1.9705 | 0.1561 | 0.1057 |
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+ | 6.8319 | 0.6 | 150 | 1.9586 | 0.1596 | 0.1088 |
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+ | 7.2472 | 0.7 | 175 | 1.9541 | 0.1607 | 0.1078 |
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+ | 7.7008 | 0.8 | 200 | 1.9407 | 0.1592 | 0.1083 |
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+ | 7.3862 | 0.9 | 225 | 1.9361 | 0.1620 | 0.1096 |
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+ | 6.6446 | 1.0 | 250 | 1.9329 | 0.1619 | 0.1091 |
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  ### Framework versions
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