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ishwarbb23
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Q3-PHQ

Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
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ishwarbb23 commited on
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End of training

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  1. README.md +14 -9
  2. model.safetensors +1 -1
  3. runs/Nov03_09-35-13_a71bf8ac3e0c/events.out.tfevents.1699004114.a71bf8ac3e0c.517.0 +2 -2
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.6311
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- - Accuracy: 0.645
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  ## Model description
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@@ -43,22 +43,27 @@ 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: 5
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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 | 51 | 0.6282 | 0.6575 |
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- | No log | 2.0 | 102 | 0.6276 | 0.6575 |
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- | No log | 3.0 | 153 | 0.6066 | 0.6625 |
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- | No log | 4.0 | 204 | 0.6228 | 0.6625 |
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- | No log | 5.0 | 255 | 0.6311 | 0.645 |
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.34.1
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.6
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  - Tokenizers 0.14.1
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 1.3641
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+ - Accuracy: 0.6525
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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: 10
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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 | 51 | 0.6307 | 0.6575 |
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+ | No log | 2.0 | 102 | 0.6292 | 0.66 |
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+ | No log | 3.0 | 153 | 0.6172 | 0.6725 |
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+ | No log | 4.0 | 204 | 0.6778 | 0.64 |
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+ | No log | 5.0 | 255 | 0.7877 | 0.6475 |
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+ | No log | 6.0 | 306 | 0.8919 | 0.6425 |
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+ | No log | 7.0 | 357 | 1.0539 | 0.65 |
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+ | No log | 8.0 | 408 | 1.2609 | 0.6475 |
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+ | No log | 9.0 | 459 | 1.3215 | 0.65 |
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+ | 0.3163 | 10.0 | 510 | 1.3641 | 0.6525 |
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  ### Framework versions
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+ - Transformers 4.35.0
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.6
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  - Tokenizers 0.14.1
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