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End of training

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  1. README.md +11 -12
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.7340
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- - Rouge1: 0.0359
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- - Rouge2: 0.0077
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- - Rougel: 0.0357
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- - Rougelsum: 0.0357
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- - Gen Len: 10.8384
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  ## Model description
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@@ -49,17 +49,16 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 16
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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: 5
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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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- | 12.4116 | 1.0 | 1357 | 3.3739 | 0.0033 | 0.0002 | 0.0033 | 0.0033 | 16.3309 |
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- | 1.7237 | 2.0 | 2714 | 1.4076 | 0.0022 | 0.0 | 0.0021 | 0.0022 | 4.5805 |
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- | 1.4447 | 3.0 | 4071 | 1.2431 | 0.0031 | 0.0 | 0.0031 | 0.0031 | 4.0912 |
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- | 1.3493 | 4.0 | 5428 | 1.2140 | 0.0247 | 0.0026 | 0.0248 | 0.0247 | 7.3331 |
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- | 1.2809 | 5.0 | 6785 | 3.7340 | 0.0359 | 0.0077 | 0.0357 | 0.0357 | 10.8384 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.6458
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+ - Rouge1: 0.1334
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+ - Rouge2: 0.1033
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+ - Rougel: 0.1296
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+ - Rougelsum: 0.1296
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+ - Gen Len: 15.4277
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  ## Model description
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  - total_train_batch_size: 16
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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 | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 5.1916 | 1.0 | 1357 | 3.8497 | 0.1095 | 0.086 | 0.1067 | 0.1064 | 12.6442 |
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+ | 4.5138 | 2.0 | 2714 | 3.7329 | 0.1228 | 0.0959 | 0.1198 | 0.1195 | 14.4008 |
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+ | 4.3429 | 3.0 | 4071 | 3.6736 | 0.1291 | 0.1 | 0.1255 | 0.1255 | 15.0502 |
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+ | 4.3195 | 4.0 | 5428 | 3.6458 | 0.1334 | 0.1033 | 0.1296 | 0.1296 | 15.4277 |
 
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  ### Framework versions
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