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-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: 0.0338
+- Wer Score: 2.7974
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|
+| 7.2955        | 4.1667  | 50   | 4.4643          | 21.5910   |
+| 2.2928        | 8.3333  | 100  | 0.4199          | 11.9038   |
+| 0.1284        | 12.5    | 150  | 0.0304          | 0.5808    |
+| 0.0153        | 16.6667 | 200  | 0.0272          | 3.4128    |
+| 0.0043        | 20.8333 | 250  | 0.0303          | 3.5346    |
+| 0.0021        | 25.0    | 300  | 0.0319          | 3.0859    |
+| 0.0016        | 29.1667 | 350  | 0.0325          | 3.0423    |
+| 0.0013        | 33.3333 | 400  | 0.0330          | 3.1013    |
+| 0.0012        | 37.5    | 450  | 0.0331          | 3.0167    |
+| 0.0011        | 41.6667 | 500  | 0.0335          | 2.8       |
+| 0.001         | 45.8333 | 550  | 0.0336          | 2.8295    |
+| 0.001         | 50.0    | 600  | 0.0338          | 2.7974    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- 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": "4.44.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3e288f2226baf368f1cc4f6b6e3b0e79a391de3f80cfb0a16e31474ebb8e11da
+oid sha256:945f25b8dc6d0523b3807c9493f63983e2e4653cc80a01278008dac52f3ab386
 size 706516040