Training Compeleted!

README.md

@@ -0,0 +1,84 @@
+---
+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: 0.94
+    - name: F1
+      type: f1
+      value: 0.9401790526544406
+---
+
+<!-- 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: 0.1364
+- Accuracy: 0.94
+- F1: 0.9402
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.7715        | 1.0   | 250  | 0.2577          | 0.918    | 0.9183 |
+| 0.2028        | 2.0   | 500  | 0.1631          | 0.932    | 0.9317 |
+| 0.1359        | 3.0   | 750  | 0.1482          | 0.9345   | 0.9350 |
+| 0.1076        | 4.0   | 1000 | 0.1352          | 0.94     | 0.9400 |
+| 0.091         | 5.0   | 1250 | 0.1364          | 0.94     | 0.9402 |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f72f38748e15ae7df5b66fd4d1794206b0e63da3984583727ae776e5de5edfa4
+oid sha256:9e1a77fcf072d6e7d43094e83c91c37c5b74bc6f55f116e62a4090acaa0ca665
 size 267844872

runs/Jun01_06-48-01_3469b507f3c8/events.out.tfevents.1717224515.3469b507f3c8.160.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4f365dc8dfd933fd46a0e86035dd2493fe7a9efd8137604ea01fdf919165a52f
-size 6981
+oid sha256:21e2d9ee2aae9e0b76b41dcbdc2d5b259ff9af9f4bb433ad4c475c99fee2d625
+size 8284

tokenizer.json

@@ -1,7 +1,19 @@
 {
   "version": "1.0",
-  "truncation": null,
-  "padding": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
+  "padding": {
+    "strategy": "BatchLongest",
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 0,
+    "pad_type_id": 0,
+    "pad_token": "[PAD]"
+  },
   "added_tokens": [
     {
       "id": 0,