End of training

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on the beans dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4668
-- Accuracy: 0.68
+- Loss: 0.4060
+- Accuracy: 0.72
 
 ## Model description
 
@@ -36,8 +36,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.8218        | 1.0   | 25   | 0.5615          | 0.66     |
-| 0.6374        | 2.0   | 50   | 0.4880          | 0.67     |
-| 0.5718        | 3.0   | 75   | 0.4668          | 0.68     |
-| 0.5584        | 4.0   | 100  | 0.4422          | 0.68     |
-| 0.5034        | 5.0   | 125  | 0.4489          | 0.68     |
+| 0.7502        | 1.0   | 50   | 0.5091          | 0.71     |
+| 0.5833        | 2.0   | 100  | 0.4521          | 0.71     |
+| 0.5376        | 3.0   | 150  | 0.5489          | 0.71     |
+| 0.5283        | 4.0   | 200  | 0.4060          | 0.72     |
+| 0.5164        | 5.0   | 250  | 0.4413          | 0.7      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3f77167059c7a5a1489eb708b9d4e9c0b331fe9dc73966bae5cc7a1ae715b516
+oid sha256:b7a1ce363e13cba8b4f93a5fb97d9ce0cc728cd99be97f76d4bf6cbe5dafcfe0
 size 9085340

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3e57e0257a5e438c72e2854f8baacdfbac23d89969f795a031aa0b932e2fc9f4
+oid sha256:6285153f880e2a9af76b66580fb367902ea85df9e2d9f2d248c31aa081f5e225
 size 4219