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
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: mental-roberta_stress_classification
+  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_stress_classification
+
+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: 0.7029
+- Accuracy: 0.5
+- F1: 0.3333
+- Precision: 0.25
+- Recall: 0.5
+
+## 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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.6983        | 1.0   | 48000  | 0.7029          | 0.5      | 0.3333 | 0.25      | 0.5    |
+| 0.7189        | 2.0   | 96000  | 0.7414          | 0.5      | 0.3333 | 0.25      | 0.5    |
+| 0.5927        | 3.0   | 144000 | 0.7370          | 0.5      | 0.3333 | 0.25      | 0.5    |
+| 0.6274        | 4.0   | 192000 | 0.7668          | 0.5      | 0.3333 | 0.25      | 0.5    |
+| 0.6622        | 5.0   | 240000 | 0.7478          | 0.5      | 0.3333 | 0.25      | 0.5    |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.12.0
+- Tokenizers 0.13.2

pytorch_model.bin

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special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}