End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/git-base
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: git-base-one-5e-5-25
+  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-one-5e-5-25
+
+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: 3.8238
+- Wer Score: 5.8
+
+## 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: 25
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Score |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|
+| No log        | 1.25  | 5    | 9.5084          | 50.1      |
+| 9.9196        | 2.5   | 10   | 8.4842          | 64.85     |
+| 9.9196        | 3.75  | 15   | 7.9215          | 67.6      |
+| 8.0697        | 5.0   | 20   | 7.4826          | 66.45     |
+| 8.0697        | 6.25  | 25   | 7.0776          | 53.95     |
+| 7.2067        | 7.5   | 30   | 6.6926          | 18.05     |
+| 7.2067        | 8.75  | 35   | 6.3268          | 17.6      |
+| 6.4594        | 10.0  | 40   | 5.9807          | 19.8      |
+| 6.4594        | 11.25 | 45   | 5.6568          | 19.35     |
+| 5.7908        | 12.5  | 50   | 5.3563          | 6.15      |
+| 5.7908        | 13.75 | 55   | 5.0803          | 6.2       |
+| 5.2135        | 15.0  | 60   | 4.8305          | 5.8       |
+| 5.2135        | 16.25 | 65   | 4.6068          | 5.75      |
+| 4.7358        | 17.5  | 70   | 4.4111          | 5.8       |
+| 4.7358        | 18.75 | 75   | 4.2427          | 5.8       |
+| 4.3652        | 20.0  | 80   | 4.1027          | 5.8       |
+| 4.3652        | 21.25 | 85   | 3.9908          | 5.8       |
+| 4.1076        | 22.5  | 90   | 3.9070          | 5.8       |
+| 4.1076        | 23.75 | 95   | 3.8515          | 5.8       |
+| 3.9616        | 25.0  | 100  | 3.8238          | 5.8       |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.0.2
+- Tokenizers 0.19.1

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": "4.44.2"
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:e6eeef28e21f6157a68069767b748a036274508f941b87ff91f4b8db99ebdbb0
+oid sha256:ba5b3f76789cee25296ac4e5be353a6f536e51cac000836a14f86c336f08d36a
 size 706516040

runs/Oct24_19-13-28_592bd2c602b1/events.out.tfevents.1729797217.592bd2c602b1.1453.5

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 version https://git-lfs.github.com/spec/v1
-oid sha256:7202361607c5418ef1475753a27e83abb3ef7251142ac727b27d746dddbfed7d
-size 12211
+oid sha256:66b86e3e4d069237f60b154f6e83ba1bf009f0d7a1af8ee13ae1bfdf89438b4c
+size 13927