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-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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0260
+- Wer Score: 2.5870
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- 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 |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|
+| 7.3233        | 2.8571  | 50   | 4.4354          | 22.5705   |
+| 2.2055        | 5.7143  | 100  | 0.3490          | 10.2262   |
+| 0.1031        | 8.5714  | 150  | 0.0287          | 0.3700    |
+| 0.0177        | 11.4286 | 200  | 0.0197          | 1.4176    |
+| 0.007         | 14.2857 | 250  | 0.0214          | 4.7060    |
+| 0.0029        | 17.1429 | 300  | 0.0232          | 3.8049    |
+| 0.0017        | 20.0    | 350  | 0.0237          | 4.6676    |
+| 0.0012        | 22.8571 | 400  | 0.0241          | 4.0458    |
+| 0.0011        | 25.7143 | 450  | 0.0246          | 3.7335    |
+| 0.001         | 28.5714 | 500  | 0.0249          | 3.2042    |
+| 0.0011        | 31.4286 | 550  | 0.0253          | 2.9423    |
+| 0.0011        | 34.2857 | 600  | 0.0257          | 2.7527    |
+| 0.0011        | 37.1429 | 650  | 0.0256          | 2.7015    |
+| 0.0011        | 40.0    | 700  | 0.0258          | 2.7152    |
+| 0.001         | 42.8571 | 750  | 0.0260          | 2.5531    |
+| 0.001         | 45.7143 | 800  | 0.0260          | 2.6126    |
+| 0.001         | 48.5714 | 850  | 0.0260          | 2.5870    |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- 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": "4.42.4"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:048475126eb3f4348f5fdae40c08b443a683b3da73d69763399128a8b8cda6d5
+oid sha256:a0b35115af16e780c1d1a55c6dfdb008bb479e228e841dc55280127b206f315b
 size 706516040