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training complete

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README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3242
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  ## Model description
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@@ -40,40 +40,19 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 11.5719 | 0.14 | 20 | 11.5332 |
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- | 11.293 | 0.28 | 40 | 11.3416 |
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- | 11.2274 | 0.42 | 60 | 11.0547 |
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- | 10.6443 | 0.56 | 80 | 10.7222 |
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- | 10.3589 | 0.69 | 100 | 10.4015 |
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- | 10.3677 | 0.83 | 120 | 10.1421 |
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- | 9.7912 | 0.97 | 140 | 9.9393 |
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- | 10.04 | 1.11 | 160 | 9.7417 |
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- | 9.4389 | 1.25 | 180 | 9.5561 |
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- | 9.6224 | 1.39 | 200 | 9.3565 |
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- | 9.2704 | 1.53 | 220 | 9.1214 |
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- | 9.1185 | 1.67 | 240 | 8.8230 |
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- | 8.9214 | 1.81 | 260 | 8.3412 |
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- | 8.4341 | 1.94 | 280 | 7.6364 |
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- | 7.3594 | 2.08 | 300 | 6.5617 |
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- | 6.4947 | 2.22 | 320 | 4.7474 |
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- | 5.054 | 2.36 | 340 | 2.9092 |
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- | 3.3489 | 2.5 | 360 | 1.3402 |
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- | 1.9233 | 2.64 | 380 | 0.7131 |
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- | 0.9449 | 2.78 | 400 | 0.5563 |
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- | 0.617 | 2.92 | 420 | 0.4779 |
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- | 0.4712 | 3.06 | 440 | 0.4228 |
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- | 0.4508 | 3.19 | 460 | 0.3853 |
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- | 0.3308 | 3.33 | 480 | 0.3581 |
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- | 0.2735 | 3.47 | 500 | 0.3422 |
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- | 0.2793 | 3.61 | 520 | 0.3343 |
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- | 0.3184 | 3.75 | 540 | 0.3276 |
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- | 0.2984 | 3.89 | 560 | 0.3242 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3188
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.2463 | 0.14 | 20 | 0.3228 |
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+ | 0.2748 | 0.28 | 40 | 0.3226 |
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+ | 0.2167 | 0.42 | 60 | 0.3221 |
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+ | 0.3046 | 0.56 | 80 | 0.3212 |
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+ | 0.3236 | 0.69 | 100 | 0.3205 |
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+ | 0.2835 | 0.83 | 120 | 0.3192 |
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+ | 0.3414 | 0.97 | 140 | 0.3188 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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