commit files to HF hub

README.md

@@ -0,0 +1,11 @@
+ # `vocabtrimmer/roberta-base-xnli-en`
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the 
+[xnli](https://huggingface.co/datasets/xnli) (en).
+Following metrics are computed on the `test` split of 
+[xnli](https://huggingface.co/datasets/xnli)(en). 
+
+|    |   eval_f1_micro |   eval_recall_micro |   eval_precision_micro |   eval_f1_macro |   eval_recall_macro |   eval_precision_macro |   eval_accuracy |
+|---:|----------------:|--------------------:|-----------------------:|----------------:|--------------------:|-----------------------:|----------------:|
+|  0 |           87.54 |               87.54 |                  87.54 |            87.6 |               87.54 |                  87.86 |           87.54 |
+
+Check the result file [here](https://huggingface.co/vocabtrimmer/roberta-base-xnli-en/raw/main/eval.json).

eval.json

@@ -0,0 +1 @@
+{"eval_loss": 0.3450840413570404, "eval_f1_micro": 0.8754491017964071, "eval_recall_micro": 0.8754491017964072, "eval_precision_micro": 0.8754491017964072, "eval_f1_macro": 0.8759816863687236, "eval_recall_macro": 0.8754491017964071, "eval_precision_macro": 0.8785755675556829, "eval_accuracy": 0.8754491017964072, "eval_runtime": 37.9624, "eval_samples_per_second": 131.973, "eval_steps_per_second": 8.271}