roberta-large-go-emotions_v2

README.md

@@ -1,5 +1,6 @@
 ---
 license: mit
+base_model: Prasadrao/roberta-large-go-emotions
 tags:
 - generated_from_trainer
 metrics:
@@ -7,7 +8,6 @@ metrics:
 - precision
 - recall
 - f1
-base_model: roberta-large
 model-index:
 - name: roberta-large-go-emotions_v2
   results: []
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta-large-go-emotions_v2
 
-This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
+This model is a fine-tuned version of [Prasadrao/roberta-large-go-emotions](https://huggingface.co/Prasadrao/roberta-large-go-emotions) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0833
-- Accuracy: 0.4548
-- Precision: 0.5106
-- Recall: 0.5017
-- F1: 0.4895
+- Loss: 0.0952
+- Accuracy: 0.4613
+- Precision: 0.5326
+- Recall: 0.5126
+- F1: 0.5165
 
 ## Model description
 
@@ -44,8 +44,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 128
-- eval_batch_size: 128
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 340  | 0.0922          | 0.4130   | 0.4179    | 0.4257 | 0.4047 |
-| 0.1095        | 2.0   | 680  | 0.0838          | 0.4466   | 0.4803    | 0.4888 | 0.4738 |
-| 0.1095        | 3.0   | 1020 | 0.0838          | 0.4425   | 0.4785    | 0.4995 | 0.4808 |
-| 0.0719        | 4.0   | 1360 | 0.0833          | 0.4548   | 0.5106    | 0.5017 | 0.4895 |
+| No log        | 1.0   | 679  | 0.0844          | 0.4552   | 0.5190    | 0.5026 | 0.4984 |
+| 0.0647        | 2.0   | 1358 | 0.0866          | 0.4449   | 0.5308    | 0.5100 | 0.5063 |
+| 0.0647        | 3.0   | 2037 | 0.0898          | 0.4471   | 0.5261    | 0.5253 | 0.5166 |
+| 0.0473        | 4.0   | 2716 | 0.0952          | 0.4613   | 0.5326    | 0.5126 | 0.5165 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f459dae2406d366c8bce50a09cd84648ed0d72d22a60df272e92f8a3d3075ac8
+oid sha256:f301bea96196159ebecf8f19ec7597368e15a581e09ecf659df8968100d091d9
 size 1421602016