Model save

README.md

@@ -3,8 +3,6 @@ library_name: transformers
 base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
 tags:
 - generated_from_trainer
-metrics:
-- f1
 model-index:
 - name: bert-classification
   results: []
@@ -16,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # bert-classification
 
 This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5482
-- F1: 0.9411
 
 ## Model description
 
@@ -43,22 +38,10 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 2
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | F1     |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.2509        | 1.0   | 1632  | 0.2514          | 0.9131 |
-| 0.193         | 2.0   | 3264  | 0.2580          | 0.9317 |
-| 0.1262        | 3.0   | 4896  | 0.3140          | 0.9262 |
-| 0.0725        | 4.0   | 6528  | 0.3717          | 0.9377 |
-| 0.0442        | 5.0   | 8160  | 0.3557          | 0.9383 |
-| 0.0354        | 6.0   | 9792  | 0.5100          | 0.9330 |
-| 0.0167        | 7.0   | 11424 | 0.4862          | 0.9397 |
-| 0.0137        | 8.0   | 13056 | 0.5168          | 0.9400 |
-| 0.0096        | 9.0   | 14688 | 0.5280          | 0.9430 |
-| 0.0056        | 10.0  | 16320 | 0.5482          | 0.9411 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b94e5d8d6a1142f82e5fb8342014a2176001b72f9fa3bb902f5f92af9ecfc067
 size 498612824