End of training

README.md

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+---
+base_model: yemen2016/memo_model
+tags:
+- generated_from_trainer
+model-index:
+- name: new_memo_model
+  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. -->
+
+# new_memo_model
+
+This model is a fine-tuned version of [yemen2016/memo_model](https://huggingface.co/yemen2016/memo_model) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9730
+- F1-score: 0.7130
+
+## 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: 5e-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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1-score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 11   | 0.9730          | 0.7130   |
+| No log        | 2.0   | 22   | 1.4445          | 0.4728   |
+| No log        | 3.0   | 33   | 1.4848          | 0.6190   |
+| No log        | 4.0   | 44   | 1.6483          | 0.6173   |
+| No log        | 5.0   | 55   | 2.1755          | 0.5695   |
+| No log        | 6.0   | 66   | 2.5277          | 0.6173   |
+| No log        | 7.0   | 77   | 3.2681          | 0.3984   |
+| No log        | 8.0   | 88   | 2.6284          | 0.7063   |
+| No log        | 9.0   | 99   | 3.4951          | 0.5172   |
+| No log        | 10.0  | 110  | 3.6294          | 0.5009   |
+| No log        | 11.0  | 121  | 3.5743          | 0.5009   |
+| No log        | 12.0  | 132  | 3.5964          | 0.5172   |
+| No log        | 13.0  | 143  | 3.6318          | 0.5172   |
+| No log        | 14.0  | 154  | 3.6526          | 0.5172   |
+| No log        | 15.0  | 165  | 3.6670          | 0.5172   |
+| No log        | 16.0  | 176  | 3.6770          | 0.5172   |
+| No log        | 17.0  | 187  | 3.6851          | 0.5172   |
+| No log        | 18.0  | 198  | 3.6906          | 0.5172   |
+| No log        | 19.0  | 209  | 3.6945          | 0.5172   |
+| No log        | 20.0  | 220  | 3.6957          | 0.5172   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

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