End of training

README.md

@@ -1,65 +1,66 @@
----
-base_model: Tanor/BERTicSENTNEG2
-tags:
-- generated_from_trainer
-metrics:
-- f1
-model-index:
-- name: BERTicSENTNEG2
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# BERTicSENTNEG2
-
-This model is a fine-tuned version of [Tanor/BERTicSENTNEG2](https://huggingface.co/Tanor/BERTicSENTNEG2) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0508
-- F1: 0.6667
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 16
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 256
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 32
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 0.99  | 47   | 0.0633          | 0.0    |
-| No log        | 2.0   | 95   | 0.0424          | 0.6190 |
-| No log        | 2.99  | 142  | 0.0484          | 0.5769 |
-| No log        | 4.0   | 190  | 0.0463          | 0.6818 |
-| No log        | 4.99  | 237  | 0.0508          | 0.6667 |
-
-
-### Framework versions
-
-- Transformers 4.31.0
-- Pytorch 2.1.0.dev20230801
-- Datasets 2.14.2
-- Tokenizers 0.13.3
+---
+base_model: Tanor/BERTicSENTNEG2
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: BERTicSENTNEG2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# BERTicSENTNEG2
+
+This model is a fine-tuned version of [Tanor/BERTicSENTNEG2](https://huggingface.co/Tanor/BERTicSENTNEG2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0572
+- F1: 0.625
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 32
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | F1     |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| No log        | 0.9895 | 47   | 0.0467          | 0.5263 |
+| No log        | 2.0    | 95   | 0.0482          | 0.6038 |
+| No log        | 2.9895 | 142  | 0.0442          | 0.7143 |
+| No log        | 4.0    | 190  | 0.0567          | 0.6275 |
+| No log        | 4.9895 | 237  | 0.0573          | 0.6    |
+| No log        | 6.0    | 285  | 0.0572          | 0.625  |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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