End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/git-base
+tags:
+- generated_from_trainer
+model-index:
+- name: git-base-ww
+  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. -->
+
+# git-base-ww
+
+This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5035
+- Wer Score: 6.7310
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- 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: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Score |
+|:-------------:|:------:|:----:|:---------------:|:---------:|
+| 3.6106        | 3.128  | 50   | 4.5591          | 9.3966    |
+| 1.2545        | 6.256  | 100  | 0.8047          | 3.2328    |
+| 0.2342        | 9.384  | 150  | 0.4631          | 0.9336    |
+| 0.1497        | 12.512 | 200  | 0.4565          | 1.2560    |
+| 0.106         | 15.64  | 250  | 0.4637          | 2.1828    |
+| 0.0813        | 18.768 | 300  | 0.4687          | 2.2207    |
+| 0.0612        | 21.896 | 350  | 0.4750          | 6.5422    |
+| 0.0536        | 25.0   | 400  | 0.4805          | 6.7198    |
+| 0.0426        | 28.128 | 450  | 0.4867          | 2.6293    |
+| 0.0361        | 31.256 | 500  | 0.4890          | 7.3362    |
+| 0.031         | 34.384 | 550  | 0.4939          | 7.0353    |
+| 0.0267        | 37.512 | 600  | 0.5003          | 2.7284    |
+| 0.0241        | 40.64  | 650  | 0.5009          | 6.9310    |
+| 0.0227        | 43.768 | 700  | 0.5015          | 6.9078    |
+| 0.021         | 46.896 | 750  | 0.5036          | 6.7776    |
+| 0.0203        | 50.0   | 800  | 0.5035          | 6.7310    |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 101,
+  "eos_token_id": 102,
+  "pad_token_id": 0,
+  "transformers_version": "4.52.4"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c3c9176ff3479f7aa3c552abe34305c2707e96e06296e8371033fcc1397f638f
+oid sha256:8c982fface8263d0ca7821bee5b05c3c2dd29f0ad8fa85031e01e6baded4dbdd
 size 706516040