Update README.md

README.md

@@ -19,56 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
 # git-base-instagram-cap
 
 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: 0.2581
-- Wer Score: 3.1462
-
-## 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
+It achieves the following results on the evaluation set:
+- Loss: 0.0093
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Score |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|
-| 7.3639        | 3.45  | 50   | 4.5936          | 0.9495    |
-| 2.389         | 6.9   | 100  | 0.6192          | 0.9387    |
-| 0.2242        | 10.34 | 150  | 0.2274          | 0.9036    |
-| 0.0883        | 13.79 | 200  | 0.2271          | 0.9084    |
-| 0.0643        | 17.24 | 250  | 0.2319          | 0.9387    |
-| 0.0493        | 20.69 | 300  | 0.2388          | 0.9501    |
-| 0.0409        | 24.14 | 350  | 0.2435          | 0.9522    |
-| 0.0344        | 27.59 | 400  | 0.2458          | 0.9616    |
-| 0.0311        | 31.03 | 450  | 0.2492          | 1.0027    |
-| 0.028         | 34.48 | 500  | 0.2519          | 1.3565    |
-| 0.0255        | 37.93 | 550  | 0.2540          | 2.0640    |
-| 0.0227        | 41.38 | 600  | 0.2554          | 2.1813    |
-| 0.0189        | 44.83 | 650  | 0.2575          | 2.8416    |
-| 0.0154        | 48.28 | 700  | 0.2581          | 3.1462    |
 
 
 ### Framework versions