MuRIL_for_TeluguQC
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README.md
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---
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license:
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base_model:
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tags:
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- generated_from_trainer
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metrics:
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# output
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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: 1.
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- Precision: 0.
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- Recall: 0.
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- Accuracy: 0.
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- F1-score: 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 | Precision | Recall | Accuracy | F1-score |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
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### Framework versions
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---
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license: apache-2.0
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base_model: google/muril-base-cased
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tags:
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- generated_from_trainer
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metrics:
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# output
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This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6250
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- Precision: 0.7716
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- Recall: 0.7647
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- Accuracy: 0.7647
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- F1-score: 0.7587
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1-score |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
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| 1.7858 | 1.0 | 32 | 1.7821 | 0.0454 | 0.2130 | 0.2130 | 0.0748 |
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| 1.7526 | 2.0 | 64 | 1.7539 | 0.1754 | 0.2860 | 0.2860 | 0.1866 |
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| 1.7112 | 3.0 | 96 | 1.7232 | 0.3352 | 0.3043 | 0.3043 | 0.2168 |
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| 1.6655 | 4.0 | 128 | 1.6832 | 0.7122 | 0.6166 | 0.6166 | 0.6194 |
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| 1.6217 | 5.0 | 160 | 1.6496 | 0.7708 | 0.7688 | 0.7688 | 0.7629 |
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| 1.5898 | 6.0 | 192 | 1.6431 | 0.7618 | 0.7424 | 0.7424 | 0.7379 |
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| 1.5678 | 7.0 | 224 | 1.6285 | 0.7697 | 0.7627 | 0.7627 | 0.7565 |
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| 1.5572 | 8.0 | 256 | 1.6250 | 0.7716 | 0.7647 | 0.7647 | 0.7587 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"BertForSequenceClassification"
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],
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{
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"_name_or_path": "google/muril-base-cased",
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"architectures": [
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"BertForSequenceClassification"
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],
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model.safetensors
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runs/Apr09_09-25-00_d477a7e83fd3/events.out.tfevents.1712654711.d477a7e83fd3.893.0
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special_tokens_map.json
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"mask_token": {
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"lstrip": false,
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"normalized": false,
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"pad_token": {
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"lstrip": false,
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"normalized": false,
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"sep_token": {
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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training_args.bin
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size 4856
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