End of training

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: mental/mental-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- accuracy
+model-index:
+- name: mental-roberta-base-pr
+  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. -->
+
+# mental-roberta-base-pr
+
+This model is a fine-tuned version of [mental/mental-roberta-base](https://huggingface.co/mental/mental-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9572
+- F1 Macro: 0.6108
+- Precision: 0.6110
+- Recall: 0.6208
+- Accuracy: 0.7680
+
+## 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: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 Macro | Precision | Recall | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
+| No log        | 1.0   | 240  | 2.2241          | 0.3643   | 0.4572    | 0.4376 | 0.5114   |
+| No log        | 2.0   | 480  | 0.8042          | 0.5883   | 0.5912    | 0.6185 | 0.7503   |
+| 1.9047        | 3.0   | 720  | 0.7581          | 0.6197   | 0.6225    | 0.6376 | 0.7669   |
+| 1.9047        | 4.0   | 960  | 0.7754          | 0.6211   | 0.6171    | 0.6381 | 0.7643   |
+| 0.8579        | 5.0   | 1200 | 0.8229          | 0.6184   | 0.6299    | 0.6292 | 0.7695   |
+| 0.8579        | 6.0   | 1440 | 0.9572          | 0.6108   | 0.6110    | 0.6208 | 0.7680   |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.8.0+cu128
+- Datasets 4.4.1
+- Tokenizers 0.22.1

model.safetensors

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