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-pronouns-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-pronouns-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: 1.4144
+- F1: 0.7853
+
+## 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  | 0.4276          | 0.4923 |
+| No log        | 2.0   | 442  | 0.3833          | 0.6505 |
+| 0.4591        | 3.0   | 663  | 0.3890          | 0.7232 |
+| 0.4591        | 4.0   | 884  | 0.6723          | 0.7619 |
+| 0.231         | 5.0   | 1105 | 1.0259          | 0.7746 |
+| 0.231         | 6.0   | 1326 | 1.4144          | 0.7853 |
+| 0.114         | 7.0   | 1547 | 1.8246          | 0.7744 |
+| 0.114         | 8.0   | 1768 | 1.7844          | 0.7796 |
+| 0.114         | 9.0   | 1989 | 1.8719          | 0.7695 |
+| 0.0319        | 10.0  | 2210 | 1.8364          | 0.7706 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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