End of training

README.md

@@ -1,6 +1,6 @@
 ---
-license: apache-2.0
-base_model: distilbert/distilbert-base-uncased
+license: mit
+base_model: camembert-base
 tags:
 - generated_from_trainer
 model-index:
@@ -13,10 +13,18 @@ should probably proofread and complete it, then remove this comment. -->
 
 # arg-quality-regression
 
-This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0338
-- Mse: 0.0597
+- eval_loss: 0.0336
+- eval_mse: 0.0336
+- eval_mae: 0.1371
+- eval_r2: 0.1512
+- eval_accuracy: 0.9821
+- eval_runtime: 85.2043
+- eval_samples_per_second: 74.116
+- eval_steps_per_second: 4.636
+- epoch: 2.1131
+- step: 3195
 
 ## Model description
 
@@ -41,18 +49,7 @@ 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: 5
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Mse    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0268        | 1.0   | 1512 | 0.0321          | 0.0499 |
-| 0.0212        | 2.0   | 3024 | 0.0290          | 0.0501 |
-| 0.0179        | 3.0   | 4536 | 0.0317          | 0.0557 |
-| 0.014         | 4.0   | 6048 | 0.0319          | 0.0569 |
-| 0.0108        | 5.0   | 7560 | 0.0338          | 0.0597 |
-
+- num_epochs: 11
 
 ### Framework versions
 

model.safetensors

@@ -1,3 +1,3 @@
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 size 442515028

runs/May06_20-45-27_2962dfe42553/events.out.tfevents.1715028334.2962dfe42553.1784.2

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