End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: mental/mental-roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: MentalRoBERTa_EmpAI_final3
+  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. -->
+
+# MentalRoBERTa_EmpAI_final3
+
+This model is a fine-tuned version of [mental/mental-roberta-base](https://huggingface.co/mental/mental-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0689
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10000
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.4421        | 1.33  | 1000 | 0.4489          |
+| 0.0766        | 2.67  | 2000 | 0.0724          |
+| 0.0701        | 4.0   | 3000 | 0.0691          |
+| 0.0658        | 5.33  | 4000 | 0.0673          |
+| 0.0632        | 6.67  | 5000 | 0.0701          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Apr05_15-31-37_495681fd883c/events.out.tfevents.1712338467.495681fd883c.1311.1

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