End of training

README.md

@@ -14,6 +14,17 @@ should probably proofread and complete it, then remove this comment. -->
 # vp-xlmr-base-dsc
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.4589
+- eval_accuracy: 0.8317
+- eval_f1: 0.8313
+- eval_precision: 0.8337
+- eval_recall: 0.8317
+- eval_runtime: 105.9688
+- eval_samples_per_second: 51.468
+- eval_steps_per_second: 6.436
+- epoch: 1.8868
+- step: 3000
 
 ## Model description
 
@@ -33,7 +44,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
+- train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08

model.safetensors

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 size 1112208084

runs/Jun20_12-39-27_0649ea1fb5b4/events.out.tfevents.1718887168.0649ea1fb5b4.21824.0

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