File size: 2,319 Bytes
7fcd389 e4036f6 7fcd389 ed51904 7fcd389 ed51904 8506fbc caaa103 a7fd1c2 94faaa7 12e26c9 3cecf5d e773acd 15ee08c b840be2 dcd1e4c 45658ac a4420c8 8682db7 ef7be87 d1249d9 23610fb f28206c 073120f 05c3646 de11c39 db7f757 9db1f44 e4036f6 7fcd389 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 |
---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ha-en
tags:
- generated_from_keras_callback
model-index:
- name: Baghdad99/saad-opus-ha-to-en
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Baghdad99/saad-opus-ha-to-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ha-en](https://huggingface.co/Helsinki-NLP/opus-mt-ha-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.0302
- Validation Loss: 3.9160
- Epoch: 23
## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 5.3200 | 4.9969 | 0 |
| 4.7301 | 4.7199 | 1 |
| 4.3658 | 4.5332 | 2 |
| 4.0897 | 4.3940 | 3 |
| 3.8568 | 4.2969 | 4 |
| 3.6818 | 4.2143 | 5 |
| 3.5195 | 4.1530 | 6 |
| 3.3799 | 4.1085 | 7 |
| 3.2595 | 4.0679 | 8 |
| 3.1400 | 4.0438 | 9 |
| 3.0337 | 4.0185 | 10 |
| 2.9335 | 3.9988 | 11 |
| 2.8354 | 3.9766 | 12 |
| 2.7461 | 3.9684 | 13 |
| 2.6650 | 3.9585 | 14 |
| 2.5827 | 3.9477 | 15 |
| 2.5062 | 3.9422 | 16 |
| 2.4289 | 3.9306 | 17 |
| 2.3549 | 3.9208 | 18 |
| 2.2882 | 3.9205 | 19 |
| 2.2195 | 3.9183 | 20 |
| 2.1492 | 3.9157 | 21 |
| 2.0888 | 3.9163 | 22 |
| 2.0302 | 3.9160 | 23 |
### Framework versions
- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1
|