Training in progress, epoch 0

README.md

@@ -0,0 +1,72 @@
+---
+license: cc-by-nc-4.0
+base_model: mental/mental-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: results
+  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. -->
+
+# results
+
+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: 0.4470
+- Accuracy: 0.8014
+- F1: 0.8132
+- Precision: 0.7903
+- Recall: 0.8374
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.6928        | 0.99  | 31   | 0.6907          | 0.5175   | 0.6814 | 0.5168    | 1.0    |
+| 0.6801        | 1.98  | 62   | 0.6759          | 0.5217   | 0.6833 | 0.5190    | 1.0    |
+| 0.5305        | 2.98  | 93   | 0.4470          | 0.8014   | 0.8132 | 0.7903    | 0.8374 |
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d29d4a320377110db2221157d77356d7632e139cf405f42dcc0bcd1c9553586a
+oid sha256:aa1bba257887952d78064d1432644c1264deed7d5e07bb3b76bf18c6dcd2a7f5
 size 498612824

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1afb8345043c6f6471930403c46a874b814b6759110a943c9ec85ab7cc823de8
+oid sha256:68e3268cd24b5fe4f70949bc1c256b675576764d1177712ef81f7f3df52cbbb7
 size 4920