End of training

README.md

@@ -0,0 +1,77 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- emotion
+metrics:
+- f1
+model-index:
+- name: distilbert-base-uncased-finetuned-emotion-again
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: split
+      split: validation
+      args: split
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.9330909300243228
+---
+
+<!-- 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-again
+
+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: 0.1594
+- F1: 0.9331
+- Acc: 0.933
+
+## 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 | F1     | Acc   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-----:|
+| 0.2089        | 1.0   | 250  | 0.1764          | 0.9281 | 0.928 |
+| 0.1338        | 2.0   | 500  | 0.1594          | 0.9331 | 0.933 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

runs/Jun25_17-42-21_08707e6848a3/events.out.tfevents.1719337342.08707e6848a3.3856.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d1b696aac5d2ad64b599144b55ff7fdd4c048c9d075c93f03ca166d85e9dbc1a
-size 5880
+oid sha256:771eed95dfbc41345a52317fa0a153793df7a59ca04407877f9580b1f3d8ff9a
+size 6598