End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: distilbert-base-uncased-imdb
+  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-imdb
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4367
+- Accuracy: 0.9327
+- F1: 0.9336
+- Precision: 0.9212
+- Recall: 0.9463
+
+## 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: 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.2601        | 1.0   | 3125  | 0.3550          | 0.8857   | 0.8744 | 0.9709    | 0.7953 |
+| 0.1842        | 2.0   | 6250  | 0.2355          | 0.9327   | 0.9327 | 0.9328    | 0.9326 |
+| 0.1191        | 3.0   | 9375  | 0.3287          | 0.9311   | 0.9303 | 0.9417    | 0.9191 |
+| 0.0452        | 4.0   | 12500 | 0.4053          | 0.9331   | 0.9337 | 0.9256    | 0.942  |
+| 0.0299        | 5.0   | 15625 | 0.4367          | 0.9327   | 0.9336 | 0.9212    | 0.9463 |
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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