End of training

README.md

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+---
+license: mit
+base_model: microsoft/git-base
+tags:
+- generated_from_trainer
+model-index:
+- name: GenerativeImage2Text-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. -->
+
+# GenerativeImage2Text-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: 0.0551
+- Wer Score: 9.8
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|
+| 5.6909        | 3.7037  | 50   | 2.9342          | 11.0167   |
+| 1.1195        | 7.4074  | 100  | 0.1202          | 11.05     |
+| 0.036         | 11.1111 | 150  | 0.0471          | 0.3833    |
+| 0.0128        | 14.8148 | 200  | 0.0492          | 0.45      |
+| 0.0101        | 18.5185 | 250  | 0.0508          | 4.35      |
+| 0.0087        | 22.2222 | 300  | 0.0501          | 9.4       |
+| 0.0081        | 25.9259 | 350  | 0.0531          | 10.35     |
+| 0.0075        | 29.6296 | 400  | 0.0535          | 9.7833    |
+| 0.0068        | 33.3333 | 450  | 0.0525          | 7.0333    |
+| 0.0064        | 37.0370 | 500  | 0.0545          | 9.7333    |
+| 0.0059        | 40.7407 | 550  | 0.0537          | 9.7333    |
+| 0.0055        | 44.4444 | 600  | 0.0550          | 9.7833    |
+| 0.0051        | 48.1481 | 650  | 0.0551          | 9.8       |
+
+
+### 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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 version https://git-lfs.github.com/spec/v1
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+oid sha256:368abed992a2acac0c56db914972556d369cef6cbf3c22341f93d5a14f034d88
 size 706516040

runs/May30_12-42-52_pcslab-MS-7A69/events.out.tfevents.1717044174.pcslab-MS-7A69.61456.1

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 version https://git-lfs.github.com/spec/v1
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-size 11361
+oid sha256:08664de8bc7f798da66688395d0ddf1fb7db3c8cd21dfd02b88cd0edc85d48f1
+size 12250