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End of training

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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 [Mat17892/t5small_enfr_opus](https://huggingface.co/Mat17892/t5small_enfr_opus) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4839
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- - Bleu: 6.4
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- - Gen Len: 17.5697
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  ## Model description
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@@ -45,17 +45,21 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Bleu | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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- | 1.7415 | 1.0 | 6355 | 1.5201 | 6.1792 | 17.5724 |
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- | 1.6892 | 2.0 | 12710 | 1.4981 | 6.2914 | 17.572 |
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- | 1.6825 | 3.0 | 19065 | 1.4873 | 6.3889 | 17.5701 |
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- | 1.6803 | 4.0 | 25420 | 1.4839 | 6.4 | 17.5697 |
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [Mat17892/t5small_enfr_opus](https://huggingface.co/Mat17892/t5small_enfr_opus) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3217
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+ - Bleu: 7.3648
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+ - Gen Len: 17.5145
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 8
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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 | Bleu | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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+ | 1.542 | 1.0 | 6355 | 1.3460 | 7.1462 | 17.5281 |
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+ | 1.5196 | 2.0 | 12710 | 1.3419 | 7.2241 | 17.5219 |
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+ | 1.5005 | 3.0 | 19065 | 1.3346 | 7.3005 | 17.5137 |
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+ | 1.5083 | 4.0 | 25420 | 1.3298 | 7.3326 | 17.5174 |
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+ | 1.4999 | 5.0 | 31775 | 1.3269 | 7.3337 | 17.5214 |
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+ | 1.4906 | 6.0 | 38130 | 1.3237 | 7.3359 | 17.5185 |
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+ | 1.4944 | 7.0 | 44485 | 1.3223 | 7.3664 | 17.5161 |
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+ | 1.5018 | 8.0 | 50840 | 1.3217 | 7.3648 | 17.5145 |
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  ### Framework versions
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