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update model card README.md

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: token_fine_tunned_flipkart_2_gl11
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # token_fine_tunned_flipkart_2_gl11
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+
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+ This model is a fine-tuned version of [vinayak361/token_fine_tunned_flipkart_2_gl7](https://huggingface.co/vinayak361/token_fine_tunned_flipkart_2_gl7) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2288
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+ - Precision: 0.9084
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+ - Recall: 0.9229
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+ - F1: 0.9156
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+ - Accuracy: 0.9276
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-06
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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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+ - 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.362 | 1.0 | 1086 | 0.3079 | 0.8734 | 0.8941 | 0.8836 | 0.9012 |
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+ | 0.3096 | 2.0 | 2172 | 0.2767 | 0.8858 | 0.9035 | 0.8946 | 0.9102 |
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+ | 0.2806 | 3.0 | 3258 | 0.2591 | 0.8935 | 0.9111 | 0.9022 | 0.9167 |
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+ | 0.2553 | 4.0 | 4344 | 0.2475 | 0.8989 | 0.9159 | 0.9073 | 0.9203 |
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+ | 0.2372 | 5.0 | 5430 | 0.2400 | 0.9032 | 0.9184 | 0.9107 | 0.9237 |
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+ | 0.2306 | 6.0 | 6516 | 0.2359 | 0.9060 | 0.9198 | 0.9128 | 0.9255 |
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+ | 0.217 | 7.0 | 7602 | 0.2320 | 0.9063 | 0.9214 | 0.9138 | 0.9260 |
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+ | 0.2048 | 8.0 | 8688 | 0.2302 | 0.9075 | 0.9226 | 0.9150 | 0.9268 |
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+ | 0.2086 | 9.0 | 9774 | 0.2290 | 0.9086 | 0.9226 | 0.9155 | 0.9272 |
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+ | 0.2072 | 10.0 | 10860 | 0.2288 | 0.9084 | 0.9229 | 0.9156 | 0.9276 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.19.2
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+ - Pytorch 1.11.0+cu102
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+ - Datasets 2.2.2
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+ - Tokenizers 0.12.1