End of training

README.md

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+---
+license: cc-by-sa-4.0
+base_model: jerteh/Jerteh-355
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: Jerteh355SENTPOS2
+  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. -->
+
+# Jerteh355SENTPOS2
+
+This model is a fine-tuned version of [jerteh/Jerteh-355](https://huggingface.co/jerteh/Jerteh-355) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0611
+- F1: 0.6842
+
+## 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: 64
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 32
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | F1     |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| No log        | 0.9895 | 47   | 0.0469          | 0.24   |
+| No log        | 2.0    | 95   | 0.0639          | 0.4138 |
+| No log        | 2.9895 | 142  | 0.0557          | 0.6111 |
+| No log        | 4.0    | 190  | 0.0611          | 0.6842 |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1