End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: roberta-base
+base_model: pgarco/roberta_cm
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta_cm
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
+This model is a fine-tuned version of [pgarco/roberta_cm](https://huggingface.co/pgarco/roberta_cm) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2459
-- Accuracy: 0.9134
+- Loss: 0.5667
+- Accuracy: 0.9377
 
 ## Model description
 
@@ -43,14 +43,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 132  | 0.2381          | 0.8997   |
-| No log        | 2.0   | 264  | 0.2459          | 0.9134   |
+| No log        | 1.0   | 132  | 0.3797          | 0.9210   |
+| No log        | 2.0   | 264  | 0.2178          | 0.9271   |
+| No log        | 3.0   | 396  | 0.4045          | 0.9119   |
+| 0.1408        | 4.0   | 528  | 0.4650          | 0.9271   |
+| 0.1408        | 5.0   | 660  | 0.6946          | 0.9073   |
+| 0.1408        | 6.0   | 792  | 0.5308          | 0.9347   |
+| 0.1408        | 7.0   | 924  | 0.6309          | 0.9210   |
+| 0.01          | 8.0   | 1056 | 0.5978          | 0.9331   |
+| 0.01          | 9.0   | 1188 | 0.5555          | 0.9377   |
+| 0.01          | 10.0  | 1320 | 0.5667          | 0.9377   |
 
 
 ### Framework versions

model.safetensors

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 size 498612824

runs/Aug27_09-50-56_acee5e657527/events.out.tfevents.1724752257.acee5e657527.220.1

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