olipol/smaug_part1

README.md

@@ -1,55 +1,66 @@
----
-library_name: transformers
-base_model: dkleczek/bert-base-polish-cased-v1
-tags:
-- generated_from_trainer
-datasets:
-- olipol/uj1
-model-index:
-- name: smaug_part1
-  results: []
----
-
-# smaug_part1
-
-This model is a fine-tuned version of [dkleczek/bert-base-polish-cased-v1](https://huggingface.co/dkleczek/bert-base-polish-cased-v1) on an Jagiellonian University dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0000
-
-## Model description
-
-Model recognizes whether a given sentence applies to the Jagiellonian University (trained on polish dataset)
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 10
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 125  | 0.0002          |
-| No log        | 2.0   | 250  | 0.0001          |
-| No log        | 3.0   | 375  | 0.0000          |
-| 0.0169        | 4.0   | 500  | 0.0000          |
-| 0.0169        | 5.0   | 625  | 0.0000          |
-| 0.0169        | 6.0   | 750  | 0.0000          |
-| 0.0169        | 7.0   | 875  | 0.0000          |
-| 0.0           | 8.0   | 1000 | 0.0000          |
-| 0.0           | 9.0   | 1125 | 0.0000          |
-| 0.0           | 10.0  | 1250 | 0.0000          |
-
-
-### Framework versions
-
-- Transformers 4.46.3
-- Pytorch 2.5.1+cu118
-- Datasets 3.1.0
-- Tokenizers 0.20.3
+---
+library_name: transformers
+base_model: dkleczek/bert-base-polish-cased-v1
+tags:
+- generated_from_trainer
+model-index:
+- name: smaug_part1
+  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. -->
+
+# smaug_part1
+
+This model is a fine-tuned version of [dkleczek/bert-base-polish-cased-v1](https://huggingface.co/dkleczek/bert-base-polish-cased-v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0000
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.027         | 1.0   | 599  | 0.0003          |
+| 0.0052        | 2.0   | 1198 | 0.0001          |
+| 0.0026        | 3.0   | 1797 | 0.0000          |
+| 0.0011        | 4.0   | 2396 | 0.0000          |
+| 0.0           | 5.0   | 2995 | 0.0000          |
+| 0.0           | 6.0   | 3594 | 0.0000          |
+| 0.0           | 7.0   | 4193 | 0.0000          |
+| 0.0           | 8.0   | 4792 | 0.0000          |
+| 0.0           | 9.0   | 5391 | 0.0000          |
+| 0.0           | 10.0  | 5990 | 0.0000          |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu118
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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tokenizer.json

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   "version": "1.0",
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+    "pad_type_id": 0,
+    "pad_token": "[PAD]"
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   "added_tokens": [
     {
       "id": 0,

training_args.bin

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