End of training

README.md

@@ -0,0 +1,65 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Q9-PHQ
+  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. -->
+
+# Q9-PHQ
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3267
+- Accuracy: 0.8875
+- Mcc: 0.6295
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Mcc    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 51   | 0.4744          | 0.8075   | 0.0    |
+| No log        | 2.0   | 102  | 0.3437          | 0.8825   | 0.5807 |
+| No log        | 3.0   | 153  | 0.3191          | 0.8825   | 0.6130 |
+| No log        | 4.0   | 204  | 0.3412          | 0.8725   | 0.6176 |
+| No log        | 5.0   | 255  | 0.3267          | 0.8875   | 0.6295 |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:70d3cd403ace2fc52ef0c940ade205c948a5ff3a22ab3191c7bd764e61bc8bdb
+oid sha256:223734a0ad42a4263a30eba57b24585ca7f59f7982fbbc73b7b8be6d0f5415fa
 size 267832560