End of training

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: groupe2-sentiment-analysis
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # groupe2-sentiment-analysis
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5712
+- Accuracy: 0.9
 
 ## Model description
 
@@ -39,10 +44,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 10
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0924        | 4.0   | 500  | 0.5712          | 0.9      |
+| 0.0079        | 8.0   | 1000 | 0.6414          | 0.908    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 267832560

runs/Mar06_00-19-29_3033c20596e3/events.out.tfevents.1741220946.3033c20596e3.268.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8902ca81b131de8c1fa49761eeec714e6f3d2e651f581e4f7adc516414c671fe
+size 411