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gniemiec
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mt5-small-finetuned-xsum

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mt5
text2text-generation
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Eval Results
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xet
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2
gniemiec commited on
Commit
1b7410e
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1 Parent(s): fc6f730

add model

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Files changed (4) hide show
  1. README.md +10 -10
  2. runs/Sep21_12-04-25_cadff6dd71cd/1632226261.0087423/events.out.tfevents.1632226261.cadff6dd71cd.90.1 +3 -0
  3. runs/Sep21_12-04-25_cadff6dd71cd/events.out.tfevents.1632226260.cadff6dd71cd.90.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -19,7 +19,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 2.8314
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ 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 the xsum dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: nan
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- - Rouge1: 2.8314
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- - Rouge2: 0.3142
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- - Rougel: 2.6475
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- - Rougelsum: 2.6485
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  - Gen Len: 4.9416
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  ## Model description
@@ -54,8 +54,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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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
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
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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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- | nan | 1.0 | 6377 | nan | 2.8314 | 0.3142 | 2.6475 | 2.6485 | 4.9416 |
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  ### Framework versions
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 2.8351
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  ---
24
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the xsum dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: nan
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+ - Rouge1: 2.8351
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+ - Rouge2: 0.3143
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+ - Rougel: 2.6488
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+ - Rougelsum: 2.6463
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  - Gen Len: 4.9416
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  ## Model description
 
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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  ### 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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+ | nan | 1.0 | 12753 | nan | 2.8351 | 0.3143 | 2.6488 | 2.6463 | 4.9416 |
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  ### Framework versions
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