Model save

README.md

@@ -1,6 +1,6 @@
 ---
-license: mit
-base_model: roberta-large
+license: apache-2.0
+base_model: tiiuae/falcon-7b
 tags:
 - generated_from_trainer
 metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test-NERv3
 
-This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
+This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1950
-- Precision: 0.0009
+- Loss: 9.0789
+- Precision: 0.0076
 - Recall: 0.0026
-- F1: 0.0014
-- Accuracy: 0.1510
+- F1: 0.0038
+- Accuracy: 0.0815
 
 ## Model description
 
@@ -45,18 +45,17 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
 - train_batch_size: 16
-- eval_batch_size: 64
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
 - num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 2.2261        | 1.0   | 14   | 2.1950          | 0.0009    | 0.0026 | 0.0014 | 0.1510   |
+| 9.8268        | 1.0   | 14   | 9.0789          | 0.0076    | 0.0026 | 0.0038 | 0.0815   |
 
 
 ### Framework versions