End of training

README.md

@@ -0,0 +1,80 @@
+---
+library_name: transformers
+license: mit
+base_model: microsoft/git-base
+tags:
+- generated_from_trainer
+model-index:
+- name: git-base-www
+  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-www
+
+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: 0.5009
+- Wer Score: 8.6345
+
+## 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: 8
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer Score |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|
+| 3.6172        | 2.64    | 50   | 4.5571          | 0.9603    |
+| 1.2455        | 5.2667  | 100  | 0.7764          | 0.9629    |
+| 0.2488        | 7.9067  | 150  | 0.4500          | 1.2879    |
+| 0.1652        | 10.5333 | 200  | 0.4539          | 2.7259    |
+| 0.1242        | 13.16   | 250  | 0.4558          | 1.0871    |
+| 0.0958        | 15.8    | 300  | 0.4580          | 2.2966    |
+| 0.074         | 18.4267 | 350  | 0.4629          | 4.6957    |
+| 0.0633        | 21.0533 | 400  | 0.4711          | 2.5060    |
+| 0.0505        | 23.6933 | 450  | 0.4758          | 4.9060    |
+| 0.0435        | 26.32   | 500  | 0.4796          | 4.9629    |
+| 0.0383        | 28.96   | 550  | 0.4866          | 4.8526    |
+| 0.0316        | 31.5867 | 600  | 0.4893          | 7.25      |
+| 0.0284        | 34.2133 | 650  | 0.4927          | 4.5267    |
+| 0.0261        | 36.8533 | 700  | 0.4954          | 7.6767    |
+| 0.0228        | 39.48   | 750  | 0.4967          | 8.1853    |
+| 0.0216        | 42.1067 | 800  | 0.4981          | 5.2336    |
+| 0.0209        | 44.7467 | 850  | 0.4997          | 8.6957    |
+| 0.0192        | 47.3733 | 900  | 0.5008          | 8.5552    |
+| 0.0203        | 50.0    | 950  | 0.5009          | 8.6345    |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.2

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": "4.52.4"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8e42e4c990c646245d9ef0c73d3280f9252e58becb069db2ee1dce8cbda4da29
+oid sha256:8b383a1dc08fe6e8c378c0326372d39b0820aa59c21881bb86ed1ba4c8bf6b1d
 size 706516040