End of training

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8701483438325543
+      value: 0.8710627921154237
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [varun-v-rao/roberta-base-fp-sick](https://huggingface.co/varun-v-rao/roberta-base-fp-sick) on the snli dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3425
-- Accuracy: 0.8701
+- Loss: 0.3422
+- Accuracy: 0.8711
 
 ## Model description
 
@@ -52,7 +52,7 @@ The following hyperparameters were used during training:
 - learning_rate: 2e-05
 - train_batch_size: 256
 - eval_batch_size: 128
-- seed: 24
+- seed: 48
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 3
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4728        | 1.0   | 2146 | 0.3686          | 0.8613   |
-| 0.444         | 2.0   | 4292 | 0.3469          | 0.8676   |
-| 0.4318        | 3.0   | 6438 | 0.3425          | 0.8701   |
+| 0.4756        | 1.0   | 2146 | 0.3687          | 0.8599   |
+| 0.4455        | 2.0   | 4292 | 0.3476          | 0.8686   |
+| 0.4313        | 3.0   | 6438 | 0.3422          | 0.8711   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a03d35720ab3ff2a6eb0adfcf51dab3930d6420ac4a21cb57f0cd3e434a62c34
+oid sha256:9bf118f9326b7fa413c7f657b592f1fd75d91a28a7da1d48e1fd4e0f98f9bcac
 size 498615900