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End of training

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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-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.9238
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- - Rouge1: 0.3437
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- - Rouge2: 0.1943
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- - Rougel: 0.3433
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- - Rougelsum: 0.3414
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- - Gen Len: 18.5833
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  ## Model description
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@@ -47,18 +47,21 @@ The following hyperparameters were used during training:
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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: 5
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 7 | 4.5277 | 0.334 | 0.1958 | 0.3357 | 0.3321 | 17.8333 |
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- | No log | 2.0 | 14 | 4.2803 | 0.3437 | 0.1943 | 0.3433 | 0.3414 | 18.5833 |
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- | No log | 3.0 | 21 | 4.0983 | 0.3437 | 0.1943 | 0.3433 | 0.3414 | 18.5833 |
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- | No log | 4.0 | 28 | 3.9779 | 0.3402 | 0.1918 | 0.3389 | 0.3378 | 18.5833 |
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- | No log | 5.0 | 35 | 3.9238 | 0.3437 | 0.1943 | 0.3433 | 0.3414 | 18.5833 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.0348
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+ - Rouge1: 0.4278
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+ - Rouge2: 0.2495
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+ - Rougel: 0.4307
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+ - Rougelsum: 0.4272
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+ - Gen Len: 15.0833
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  ## Model description
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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: 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 7 | 3.7769 | 0.357 | 0.1943 | 0.3562 | 0.3538 | 18.6667 |
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+ | No log | 2.0 | 14 | 3.5617 | 0.3952 | 0.2386 | 0.3963 | 0.3935 | 18.25 |
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+ | No log | 3.0 | 21 | 3.3882 | 0.4045 | 0.2402 | 0.4094 | 0.4044 | 16.8333 |
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+ | No log | 4.0 | 28 | 3.2644 | 0.4045 | 0.2402 | 0.4094 | 0.4044 | 16.8333 |
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+ | No log | 5.0 | 35 | 3.1643 | 0.4316 | 0.2495 | 0.4345 | 0.4306 | 15.25 |
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+ | No log | 6.0 | 42 | 3.0961 | 0.4278 | 0.2495 | 0.4307 | 0.4272 | 15.0833 |
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+ | No log | 7.0 | 49 | 3.0551 | 0.4278 | 0.2495 | 0.4307 | 0.4272 | 15.0833 |
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+ | No log | 8.0 | 56 | 3.0348 | 0.4278 | 0.2495 | 0.4307 | 0.4272 | 15.0833 |
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  ### Framework versions
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