Model save

README.md

@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1732
-- Macro-f1: 0.0
-- Micro-f1: 0.0
+- Loss: 0.0744
+- Macro-f1: 0.3551
+- Micro-f1: 0.7166
 
 ## Model description
 
@@ -38,13 +38,9 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 3e-05
-- train_batch_size: 128
-- eval_batch_size: 128
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 1
-- distributed_type: multi-GPU
-- num_devices: 2
-- total_train_batch_size: 256
-- total_eval_batch_size: 256
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 2.0
@@ -54,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Macro-f1 | Micro-f1 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
-| No log        | 1.0   | 215  | 0.1769          | 0.0      | 0.0      |
-| No log        | 2.0   | 430  | 0.1732          | 0.0      | 0.0      |
+| 0.0758        | 1.0   | 3438 | 0.0814          | 0.2964   | 0.6862   |
+| 0.0618        | 2.0   | 6876 | 0.0744          | 0.3551   | 0.7166   |
 
 
 ### Framework versions