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: 0.9265
+    - name: F1
+      type: f1
+      value: 0.9262847934737912
+---
+
+<!-- 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: 0.2306
+- Accuracy: 0.9265
+- F1: 0.9263
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.8657        | 1.0   | 250  | 0.3305          | 0.9035   | 0.9027 |
+| 0.265         | 2.0   | 500  | 0.2306          | 0.9265   | 0.9263 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -36,6 +36,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.38.1",
+  "transformers_version": "4.38.2",
   "vocab_size": 30522
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e20489c8c3f82c7ea5ff6d2118a512ac6adc9add8ed46b2e3e619e4795d9f62b
+oid sha256:0bfc793f44ccf973ec37a65a07c86595d505a261bc8e99744c1c723ff14d4d6a
 size 267844872

runs/Mar13_23-04-10_bfff96a7df19/events.out.tfevents.1710371054.bfff96a7df19.175.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7bec4e3174b879a5eda614143f2fe6c7faf951b4cb6443ec630928ea038281e6
+size 6300

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a76fd523cbe60b0c8118ece6db40b8444076407ec0f5f6151a7478db452f36c5
+oid sha256:4ba1bcc4921273b796add308d0c9e1528a5d0911a11d2d2862ea1ba2922bb847
 size 4920