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emotional-distilbert-3

Text Classification
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distilbert
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End of training

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  1. README.md +13 -10
  2. model.safetensors +1 -1
  3. runs/Apr10_15-59-30_c6325f312c89/events.out.tfevents.1712764770.c6325f312c89.1856.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.4343
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- - Accuracy: 0.3684
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- - F1: 0.3578
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- - Precision: 0.3904
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- - Recall: 0.3684
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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: 0.0001
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 1.882 | 1.0 | 270 | 2.2481 | 0.3131 | 0.2971 | 0.3557 | 0.3131 |
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- | 0.3479 | 2.0 | 540 | 2.5540 | 0.3448 | 0.3281 | 0.3990 | 0.3448 |
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- | 0.0903 | 3.0 | 810 | 3.0832 | 0.3838 | 0.3602 | 0.3764 | 0.3838 |
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- | 0.033 | 4.0 | 1080 | 3.4343 | 0.3684 | 0.3578 | 0.3904 | 0.3684 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1515
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+ - Accuracy: 0.4428
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+ - F1: 0.4258
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+ - Precision: 0.4408
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+ - Recall: 0.4428
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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: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 2.7857 | 1.0 | 270 | 2.7060 | 0.2505 | 0.2301 | 0.3881 | 0.2505 |
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+ | 1.4183 | 2.0 | 540 | 2.1665 | 0.3693 | 0.3674 | 0.4295 | 0.3693 |
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+ | 0.621 | 3.0 | 810 | 1.8691 | 0.4419 | 0.4343 | 0.4545 | 0.4419 |
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+ | 0.2352 | 4.0 | 1080 | 1.8406 | 0.4401 | 0.4333 | 0.4571 | 0.4401 |
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+ | 0.0816 | 5.0 | 1350 | 1.9892 | 0.4474 | 0.4335 | 0.4518 | 0.4474 |
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+ | 0.0284 | 6.0 | 1620 | 2.1080 | 0.4347 | 0.4224 | 0.4365 | 0.4347 |
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+ | 0.0141 | 7.0 | 1890 | 2.1515 | 0.4428 | 0.4258 | 0.4408 | 0.4428 |
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  ### Framework versions
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