End of training

README.md

@@ -1,68 +1,67 @@
----
-tags:
-- generated_from_trainer
-metrics:
-- f1
-model-index:
-- name: BERTicSENTPOS0
-  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. -->
-
-# BERTicSENTPOS0
-
-This model is a fine-tuned version of [Tanor/BERTicSENTPOS0](https://huggingface.co/Tanor/BERTicSENTPOS0) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0195
-- 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  | 52   | 0.0469          | 0.0    |
-| No log        | 2.0   | 105  | 0.0398          | 0.0    |
-| No log        | 2.99  | 157  | 0.0172          | 0.0    |
-| No log        | 4.0   | 210  | 0.0141          | 0.6364 |
-| No log        | 4.99  | 262  | 0.0135          | 0.6667 |
-| No log        | 6.0   | 315  | 0.0125          | 0.6667 |
-| No log        | 6.99  | 367  | 0.0175          | 0.6    |
-| No log        | 8.0   | 420  | 0.0249          | 0.6667 |
-| No log        | 8.99  | 472  | 0.0195          | 0.6667 |
-
-
-### Framework versions
-
-- Transformers 4.30.2
-- Pytorch 2.0.1
-- Datasets 2.13.1
-- Tokenizers 0.13.3
+---
+base_model: Tanor/BERTicSENTPOS0
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: BERTicSENTPOS0
+  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. -->
+
+# BERTicSENTPOS0
+
+This model is a fine-tuned version of [Tanor/BERTicSENTPOS0](https://huggingface.co/Tanor/BERTicSENTPOS0) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0233
+- F1: 0.7692
+
+## 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        | 1.0   | 47   | 0.0200          | 0.6364 |
+| No log        | 2.0   | 94   | 0.0311          | 0.5333 |
+| No log        | 3.0   | 141  | 0.0305          | 0.5333 |
+| No log        | 4.0   | 188  | 0.0171          | 0.7    |
+| No log        | 5.0   | 235  | 0.0200          | 0.6957 |
+| No log        | 6.0   | 282  | 0.0207          | 0.72   |
+| No log        | 7.0   | 329  | 0.0233          | 0.7692 |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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