End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: distilbert-base-uncased-finetuned-nlp-letters-TEXT-all-class-weighted
+  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. -->
+
+# distilbert-base-uncased-finetuned-nlp-letters-TEXT-all-class-weighted
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1971
+- F1: 0.8074
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 221  | 0.4626          | 0.4757 |
+| No log        | 2.0   | 442  | 0.3475          | 0.5249 |
+| 0.4696        | 3.0   | 663  | 0.3640          | 0.6746 |
+| 0.4696        | 4.0   | 884  | 0.6535          | 0.7937 |
+| 0.2406        | 5.0   | 1105 | 1.1971          | 0.8074 |
+| 0.2406        | 6.0   | 1326 | 1.2543          | 0.8049 |
+| 0.1092        | 7.0   | 1547 | 1.5411          | 0.8000 |
+| 0.1092        | 8.0   | 1768 | 1.6698          | 0.8010 |
+| 0.1092        | 9.0   | 1989 | 1.7257          | 0.8026 |
+| 0.0402        | 10.0  | 2210 | 1.7488          | 0.8014 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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