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mbart-large-50-GEC-spanish-LORA-cowsl2h

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Model trained and pushed to Hugging Face Hub

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Files changed (4) hide show
  1. README.md +7 -6
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 8.1098
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- - Gleu: 0.5515
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  ## Model description
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@@ -45,16 +45,17 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.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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  - lr_scheduler_warmup_steps: 0.08309212265191754
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- - num_epochs: 3
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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 | Gleu |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 9.2875 | 1.0 | 388 | 8.1391 | 0.4431 |
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- | 8.1733 | 2.0 | 776 | 8.1141 | 0.5315 |
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- | 8.1488 | 3.0 | 1164 | 8.1098 | 0.5515 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 8.1436
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+ - Gleu: 0.3894
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  ## Model description
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  - optimizer: Use OptimizerNames.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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  - lr_scheduler_warmup_steps: 0.08309212265191754
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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 | Gleu |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 9.2131 | 1.0 | 388 | 8.1384 | 0.4301 |
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+ | 8.1633 | 2.0 | 776 | 8.1093 | 0.5478 |
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+ | 8.1815 | 3.0 | 1164 | 8.1496 | 0.3411 |
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+ | 8.1746 | 4.0 | 1552 | 8.1436 | 0.3894 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -30,10 +30,10 @@
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  "revision": null,
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  "target_modules": [
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  "fc2",
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- "q_proj",
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- "out_proj",
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  "v_proj",
 
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  "k_proj",
 
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  "fc1"
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  ],
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  "target_parameters": null,
 
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  "revision": null,
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  "target_modules": [
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  "fc2",
 
 
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  "v_proj",
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+ "out_proj",
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  "k_proj",
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+ "q_proj",
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  "fc1"
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  ],
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  "target_parameters": null,
adapter_model.safetensors CHANGED
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training_args.bin CHANGED
@@ -1,3 +1,3 @@
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