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bert-leg-al-corpus

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End of training

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  1. README.md +12 -10
  2. model.safetensors +1 -1
  3. runs/Jun11_12-02-39_c8f541ed954c/events.out.tfevents.1718107364.c8f541ed954c.2089.8 +2 -2
  4. runs/Jun11_12-02-39_c8f541ed954c/events.out.tfevents.1718111278.c8f541ed954c.2089.9 +3 -0
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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  license: cc
 
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  tags:
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  - generated_from_trainer
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- base_model: joelniklaus/legal-xlm-roberta-base
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  model-index:
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  - name: bert-leg-al-corpus
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  results: []
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [joelniklaus/legal-xlm-roberta-base](https://huggingface.co/joelniklaus/legal-xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.8436
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  ## Model description
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@@ -40,19 +40,21 @@ 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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 1.9469 | 0.4219 | 100 | 1.8536 |
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- | 1.9311 | 0.8439 | 200 | 1.8405 |
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- | 1.9608 | 1.2658 | 300 | 1.8464 |
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- | 1.9217 | 1.6878 | 400 | 1.8155 |
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- | 1.9213 | 2.1097 | 500 | 1.8155 |
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- | 1.9213 | 2.5316 | 600 | 1.8239 |
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- | 1.9552 | 2.9536 | 700 | 1.8140 |
 
 
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  ### Framework versions
 
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  ---
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  license: cc
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+ base_model: joelniklaus/legal-xlm-roberta-base
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  tags:
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  - generated_from_trainer
 
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  model-index:
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  - name: bert-leg-al-corpus
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  results: []
 
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  This model is a fine-tuned version of [joelniklaus/legal-xlm-roberta-base](https://huggingface.co/joelniklaus/legal-xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7948
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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: 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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+ | 1.8679 | 0.4219 | 100 | 1.8208 |
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+ | 1.8623 | 0.8439 | 200 | 1.8081 |
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+ | 1.8987 | 1.2658 | 300 | 1.8153 |
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+ | 1.8659 | 1.6878 | 400 | 1.7836 |
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+ | 1.8685 | 2.1097 | 500 | 1.7825 |
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+ | 1.8734 | 2.5316 | 600 | 1.7903 |
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+ | 1.9124 | 2.9536 | 700 | 1.7771 |
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+ | 1.8875 | 3.3755 | 800 | 1.7819 |
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+ | 1.9029 | 3.7975 | 900 | 1.8032 |
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  ### Framework versions
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