Model save

README.md

@@ -3,6 +3,9 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: emotion-analysis-3000
   results: []
@@ -14,6 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 # emotion-analysis-3000
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7771
+- Accuracy: 0.4625
+- F1: 0.4371
 
 ## Model description
 
@@ -40,6 +47,16 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 1.8468        | 1.0   | 4296  | 1.7954          | 0.4678   | 0.4099 |
+| 1.7181        | 2.0   | 8592  | 1.7771          | 0.4625   | 0.4371 |
+| 1.6477        | 3.0   | 12888 | 1.7850          | 0.4699   | 0.4404 |
+| 1.5421        | 4.0   | 17184 | 1.8101          | 0.4611   | 0.4385 |
+
+
 ### Framework versions
 
 - Transformers 4.39.3

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3eb5b925606456dcf241825a880c8b754ed93a0ea1ee5da797282ecbe66b2f43
+oid sha256:3c39e8dfa6b23f86d2aec2cc133c9dd02fed881117b95b7ae18738ed214d757f
 size 267912544

runs/Apr16_13-27-05_DESKTOP-TE1H4IM/events.out.tfevents.1713268958.DESKTOP-TE1H4IM.2120.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:46cd66eac78a9d5c3a764d68f781fd73b6f12e845f6575a699af35464e18508e
+size 416