End of training

README.md

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+---
+license: mit
+base_model: prajjwal1/bert-tiny
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: tiny_bert_25_intents
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# tiny_bert_25_intents
+
+This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2718
+- Accuracy: 0.9238
+- F1: 0.9238
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 472  | 1.9552          | 0.6143   | 0.6143 |
+| 2.6425        | 2.0   | 944  | 1.1750          | 0.7952   | 0.7952 |
+| 1.5608        | 3.0   | 1416 | 0.7802          | 0.8667   | 0.8667 |
+| 0.9473        | 4.0   | 1888 | 0.5623          | 0.8976   | 0.8976 |
+| 0.6217        | 5.0   | 2360 | 0.4360          | 0.9167   | 0.9167 |
+| 0.4313        | 6.0   | 2832 | 0.3584          | 0.9143   | 0.9143 |
+| 0.3165        | 7.0   | 3304 | 0.3150          | 0.9238   | 0.9238 |
+| 0.237         | 8.0   | 3776 | 0.3006          | 0.9214   | 0.9214 |
+| 0.1674        | 9.0   | 4248 | 0.2799          | 0.9214   | 0.9214 |
+| 0.1691        | 10.0  | 4720 | 0.2647          | 0.9238   | 0.9238 |
+| 0.1263        | 11.0  | 5192 | 0.2742          | 0.9238   | 0.9238 |
+| 0.1201        | 12.0  | 5664 | 0.2745          | 0.9214   | 0.9214 |
+| 0.1132        | 13.0  | 6136 | 0.2641          | 0.9214   | 0.9214 |
+| 0.1045        | 14.0  | 6608 | 0.2728          | 0.9238   | 0.9238 |
+| 0.0918        | 15.0  | 7080 | 0.2718          | 0.9238   | 0.9238 |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

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