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lazymonster
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adaptation_raw

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
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xet
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End of training

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  1. README.md +11 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [lazymonster/20k-combined-raw-scratch](https://huggingface.co/lazymonster/20k-combined-raw-scratch) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0500
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- - Accuracy: 0.6927
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- - F1 Macro: 0.6910
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- - Composite Score: 0.6910
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Composite Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|
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- | No log | 1.0 | 333 | 0.9757 | 0.7029 | 0.7017 | 0.7017 |
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- | 0.4584 | 2.0 | 666 | 1.0121 | 0.6980 | 0.6965 | 0.6965 |
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- | 0.4584 | 3.0 | 999 | 1.0500 | 0.6927 | 0.6910 | 0.6910 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [lazymonster/20k-combined-raw-scratch](https://huggingface.co/lazymonster/20k-combined-raw-scratch) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0900
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+ - Accuracy: 0.6965
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+ - F1 Macro: 0.6952
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+ - Composite Score: 0.6952
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  ## Model description
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  ### Training hyperparameters
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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: 32
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  - eval_batch_size: 32
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Composite Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|
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+ | No log | 1.0 | 333 | 0.9958 | 0.6995 | 0.6983 | 0.6983 |
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+ | 0.4563 | 2.0 | 666 | 1.0290 | 0.7104 | 0.7096 | 0.7096 |
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+ | 0.4563 | 3.0 | 999 | 1.0838 | 0.6859 | 0.6840 | 0.6840 |
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+ | 0.4419 | 4.0 | 1332 | 1.0559 | 0.7006 | 0.6987 | 0.6987 |
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+ | 0.4108 | 5.0 | 1665 | 1.1011 | 0.6946 | 0.6929 | 0.6929 |
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+ | 0.4108 | 6.0 | 1998 | 1.0900 | 0.6965 | 0.6952 | 0.6952 |
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  ### Framework versions
model.safetensors CHANGED
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