Model save

README.md

@@ -14,6 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 # Testing
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0607
 
 ## Model description
 
@@ -33,8 +35,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 6
+- eval_batch_size: 6
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -44,7 +46,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 488  | 0.1284          |
+| 0.1281        | 1.0   | 650  | 0.0607          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c9668c9f01f43a2f3cf79868b64d415e8e6b31acaf6fa8ca1b8ed2cff7d5a074
 size 265470032

runs/Apr15_07-59-01_000bcc77adc6/events.out.tfevents.1713168714.000bcc77adc6.379.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7a29bbbdde2ae403f2db1ed9e9068cd12e8d9e54650216ea5c8daf6c5a398978
-size 4705
+oid sha256:3f872de001ea118f91f93195bac50f326d7e294cce87e3f01bb3e42edb461fe2
+size 5330