End of training

README.md

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+---
+license: mit
+base_model: microsoft/git-base
+tags:
+- generated_from_trainer
+model-index:
+- name: git-base-naruto
+  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-naruto
+
+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: 0.0600
+- Wer Score: 2.1639
+
+## 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: 2
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer Score |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|
+| 7.2846        | 3.7037  | 50   | 4.4712          | 22.9180   |
+| 2.2861        | 7.4074  | 100  | 0.4239          | 10.6230   |
+| 0.1211        | 11.1111 | 150  | 0.0471          | 0.4754    |
+| 0.0161        | 14.8148 | 200  | 0.0453          | 0.4098    |
+| 0.0114        | 18.5185 | 250  | 0.0474          | 0.4426    |
+| 0.0093        | 22.2222 | 300  | 0.0501          | 1.4754    |
+| 0.0084        | 25.9259 | 350  | 0.0503          | 0.7049    |
+| 0.0068        | 29.6296 | 400  | 0.0534          | 0.4590    |
+| 0.0058        | 33.3333 | 450  | 0.0562          | 0.4426    |
+| 0.0048        | 37.0370 | 500  | 0.0572          | 0.4590    |
+| 0.0035        | 40.7407 | 550  | 0.0597          | 0.7869    |
+| 0.0025        | 44.4444 | 600  | 0.0602          | 2.0164    |
+| 0.0017        | 48.1481 | 650  | 0.0600          | 2.1639    |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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": "4.40.2"
+}

model.safetensors

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+oid sha256:f0fdcac7050e21b6a95cbc1c1b4bedcfee3ae43f8bf8d5a3f36cae5b1d318660
 size 706516040

runs/May30_14-59-37_leowang-ROG-Strix-G512LV-G512LV/events.out.tfevents.1717052450.leowang-ROG-Strix-G512LV-G512LV.50.0

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