End of training

README.md

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+---
+license: mit
+base_model: microsoft/git-base
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: git-base-pokemon
+  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-pokemon
+
+This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1481
+- Wer Score: 7.2150
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|
+| 0.0359        | 3.12  | 50   | 0.1192          | 0.8131    |
+| 0.0174        | 6.25  | 100  | 0.1257          | 3.0654    |
+| 0.0132        | 9.38  | 150  | 0.1283          | 0.7850    |
+| 0.011         | 12.5  | 200  | 0.1297          | 1.4112    |
+| 0.0095        | 15.62 | 250  | 0.1332          | 5.1028    |
+| 0.0083        | 18.75 | 300  | 0.1376          | 5.5701    |
+| 0.0077        | 21.88 | 350  | 0.1368          | 0.7944    |
+| 0.0068        | 25.0  | 400  | 0.1366          | 5.6168    |
+| 0.0061        | 28.12 | 450  | 0.1417          | 4.4299    |
+| 0.0057        | 31.25 | 500  | 0.1406          | 6.6636    |
+| 0.0047        | 34.38 | 550  | 0.1438          | 7.3738    |
+| 0.0038        | 37.5  | 600  | 0.1448          | 7.6262    |
+| 0.0032        | 40.62 | 650  | 0.1468          | 9.0841    |
+| 0.0027        | 43.75 | 700  | 0.1473          | 6.8598    |
+| 0.0024        | 46.88 | 750  | 0.1480          | 7.3178    |
+| 0.0021        | 50.0  | 800  | 0.1481          | 7.2150    |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 101,
+  "eos_token_id": 102,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.0"
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
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+oid sha256:36c32d63cbd6e6d4c10ff5d4d4a289ec610efd4b69d4bb58377fcf5382641133
 size 706516040

runs/Nov13_12-18-57_8f40eeb4e341/events.out.tfevents.1699878938.8f40eeb4e341.19050.3

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 version https://git-lfs.github.com/spec/v1
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-size 12111
+oid sha256:2b87159935da34be76d065a9f4a98b890acc828a26fb1ea809fb8ea14e2f336c
+size 12465