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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- imdb
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metrics:
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- accuracy
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model-index:
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- name: my_awesome_model
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: imdb
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type: imdb
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config: plain_text
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split: test
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args: plain_text
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.93004
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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
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# my_awesome_model
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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---
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: my_awesome_model
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results: []
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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
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# my_awesome_model
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This model is a fine-tuned version of [pile-of-law/legalbert-large-1.7M-2](https://huggingface.co/pile-of-law/legalbert-large-1.7M-2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7448
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- Accuracy: 0.6333
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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: 6
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 150 | 0.6502 | 0.6 |
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| No log | 2.0 | 300 | 0.6360 | 0.66 |
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| No log | 3.0 | 450 | 0.6546 | 0.69 |
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| 0.6614 | 4.0 | 600 | 0.6632 | 0.6333 |
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| 0.6614 | 5.0 | 750 | 0.7435 | 0.65 |
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| 0.6614 | 6.0 | 900 | 0.7448 | 0.6333 |
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### Framework versions
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