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: 0.0372
+- Wer Score: 2.1641
+
+## 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Score |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|
+| 7.3017        | 4.17  | 50   | 4.4850          | 20.9419   |
+| 2.3174        | 8.33  | 100  | 0.4334          | 8.6357    |
+| 0.1315        | 12.5  | 150  | 0.0334          | 0.4225    |
+| 0.0175        | 16.67 | 200  | 0.0309          | 1.1072    |
+| 0.0057        | 20.83 | 250  | 0.0330          | 2.3527    |
+| 0.0024        | 25.0  | 300  | 0.0351          | 2.5284    |
+| 0.0017        | 29.17 | 350  | 0.0358          | 2.4496    |
+| 0.0014        | 33.33 | 400  | 0.0364          | 2.3941    |
+| 0.0012        | 37.5  | 450  | 0.0367          | 2.1628    |
+| 0.0011        | 41.67 | 500  | 0.0371          | 2.2390    |
+| 0.0011        | 45.83 | 550  | 0.0372          | 2.1447    |
+| 0.001         | 50.0  | 600  | 0.0372          | 2.1641    |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

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": "4.33.2"
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:24b1e956b898c2a0f8973d43cece38c2c214d09c925f82bbe55479b68672f329
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