Training completed!

README.md

@@ -0,0 +1,81 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- emotion
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert-base-uncased-finetuned-emotion
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: split
+      split: validation
+      args: split
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9225
+    - name: F1
+      type: f1
+      value: 0.9225783519597501
+---
+
+<!-- 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. -->
+
+# distilbert-base-uncased-finetuned-emotion
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2201
+- Accuracy: 0.9225
+- F1: 0.9226
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.7983        | 1.0   | 250  | 0.3130          | 0.9035   | 0.9029 |
+| 0.246         | 2.0   | 500  | 0.2201          | 0.9225   | 0.9226 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+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:ab42f565d780b097460aa237e5f8d700cd6fba3fcdcf0d0be8357832d03860ca
+oid sha256:2919ef17e6b9e5aafaf0ff5a6fa1c0f6dc37f5f0b40084c7e312fb55e65c9549
 size 267844872

runs/Mar10_12-30-35_30b813e26891/events.out.tfevents.1710073854.30b813e26891.2587.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d6b05a0eac20b7efd7a386d2a070713d2d4514b4be2f82cea371774173ee6ba3
-size 5366
+oid sha256:4852a74f850029aac08fa66b61baa57186890e267d510840ca4da1f7fc03872d
+size 6300