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adith-ds/emotion-classifier-v2

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  1. README.md +15 -8
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3234
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- - Macro F1: 0.7364
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- - Macro Precision: 0.8012
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- - Macro Recall: 0.6946
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  - Macro Support: None
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  ## Model description
@@ -46,15 +46,22 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 500
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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Macro Support |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:-------------:|
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- | No log | 1.0 | 86 | 0.5865 | 0.1447 | 0.1133 | 0.2 | None |
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- | 0.6401 | 2.0 | 172 | 0.3973 | 0.6073 | 0.7713 | 0.5602 | None |
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- | 0.4447 | 3.0 | 258 | 0.3234 | 0.7364 | 0.8012 | 0.6946 | None |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3137
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+ - Macro F1: 0.8277
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+ - Macro Precision: 0.8600
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+ - Macro Recall: 0.8001
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  - Macro Support: None
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  ## Model description
 
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 500
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Macro Support |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:-------------:|
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+ | No log | 1.0 | 86 | 0.5569 | 0.1457 | 0.1717 | 0.1943 | None |
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+ | 0.6269 | 2.0 | 172 | 0.3887 | 0.6303 | 0.7830 | 0.5848 | None |
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+ | 0.4378 | 3.0 | 258 | 0.3189 | 0.7263 | 0.8287 | 0.6691 | None |
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+ | 0.2938 | 4.0 | 344 | 0.2852 | 0.7759 | 0.8435 | 0.7259 | None |
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+ | 0.1958 | 5.0 | 430 | 0.2810 | 0.8010 | 0.8398 | 0.7726 | None |
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+ | 0.1225 | 6.0 | 516 | 0.3017 | 0.8087 | 0.8303 | 0.7944 | None |
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+ | 0.0715 | 7.0 | 602 | 0.2984 | 0.8206 | 0.8452 | 0.8008 | None |
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+ | 0.0715 | 8.0 | 688 | 0.3067 | 0.8293 | 0.8420 | 0.8175 | None |
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+ | 0.0359 | 9.0 | 774 | 0.3100 | 0.8280 | 0.8617 | 0.8002 | None |
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+ | 0.0208 | 10.0 | 860 | 0.3137 | 0.8277 | 0.8600 | 0.8001 | None |
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  ### Framework versions
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