Hugging Face's logo

oddadmix
/
masrawy-english-arabic-translator

Translation
TensorBoard
Safetensors
Arabic
English
marian
Generated from Trainer
egyptian
Model card Files Metrics Community
oddadmix commited on
Commit
113c9c0
·
verified ·
1 Parent(s): 5b54479

oddadmix/English-To-EgyptianArabic-Translator

Browse files
Files changed (6) hide show
  1. README.md +26 -11
  2. model.safetensors +1 -1
  3. runs/Nov21_01-16-59_n11x8j43o5/events.out.tfevents.1732151820.n11x8j43o5.352.9 +3 -0
  4. runs/Nov21_01-26-59_n11x8j43o5/events.out.tfevents.1732152420.n11x8j43o5.352.10 +3 -0
  5. runs/Nov21_01-27-05_n11x8j43o5/events.out.tfevents.1732152426.n11x8j43o5.352.11 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 1.5017
20
 
21
  ## Model description
22
 
@@ -36,23 +36,38 @@ More information needed
36
 
37
  The following hyperparameters were used during training:
38
  - learning_rate: 2e-05
39
- - train_batch_size: 32
40
- - eval_batch_size: 32
41
  - seed: 42
42
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
43
  - lr_scheduler_type: linear
44
- - num_epochs: 5
45
  - mixed_precision_training: Native AMP
46
 
47
  ### Training results
48
 
49
- | Training Loss | Epoch | Step | Validation Loss |
50
- |:-------------:|:-----:|:----:|:---------------:|
51
- | 1.8299 | 1.0 | 713 | 1.5443 |
52
- | 1.7166 | 2.0 | 1426 | 1.5219 |
53
- | 1.5941 | 3.0 | 2139 | 1.5108 |
54
- | 1.5231 | 4.0 | 2852 | 1.5036 |
55
- | 1.4992 | 5.0 | 3565 | 1.5017 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
56
 
57
 
58
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 1.8338
20
 
21
  ## Model description
22
 
 
36
 
37
  The following hyperparameters were used during training:
38
  - learning_rate: 2e-05
39
+ - train_batch_size: 16
40
+ - eval_batch_size: 16
41
  - seed: 42
42
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
43
  - lr_scheduler_type: linear
44
+ - num_epochs: 20
45
  - mixed_precision_training: Native AMP
46
 
47
  ### Training results
48
 
49
+ | Training Loss | Epoch | Step | Validation Loss |
50
+ |:-------------:|:-----:|:-----:|:---------------:|
51
+ | 2.1222 | 1.0 | 2019 | 1.9246 |
52
+ | 1.9763 | 2.0 | 4038 | 1.8663 |
53
+ | 1.8834 | 3.0 | 6057 | 1.8480 |
54
+ | 1.8057 | 4.0 | 8076 | 1.8384 |
55
+ | 1.7176 | 5.0 | 10095 | 1.8243 |
56
+ | 1.6813 | 6.0 | 12114 | 1.8235 |
57
+ | 1.5903 | 7.0 | 14133 | 1.8270 |
58
+ | 1.5615 | 8.0 | 16152 | 1.8201 |
59
+ | 1.4726 | 9.0 | 18171 | 1.8227 |
60
+ | 1.4401 | 10.0 | 20190 | 1.8223 |
61
+ | 1.4126 | 11.0 | 22209 | 1.8224 |
62
+ | 1.4119 | 12.0 | 24228 | 1.8266 |
63
+ | 1.3976 | 13.0 | 26247 | 1.8301 |
64
+ | 1.3645 | 14.0 | 28266 | 1.8272 |
65
+ | 1.3199 | 15.0 | 30285 | 1.8312 |
66
+ | 1.3365 | 16.0 | 32304 | 1.8322 |
67
+ | 1.2928 | 17.0 | 34323 | 1.8309 |
68
+ | 1.2352 | 18.0 | 36342 | 1.8310 |
69
+ | 1.2561 | 19.0 | 38361 | 1.8321 |
70
+ | 1.2623 | 20.0 | 40380 | 1.8338 |
71
 
72
 
73
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8afffdbf07f081e0b0e9d14737f8ce198ad33aa151df7f6b6de593ee8652fc9a
3
  size 305452744
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0710204ebe8eca4fd75b4a52492ecfdeda7663e44497a25e2650d9450ba367c6
3
  size 305452744
runs/Nov21_01-16-59_n11x8j43o5/events.out.tfevents.1732151820.n11x8j43o5.352.9 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7747ccdfb8ce35a1f74c8e66464928cea820c8295e8616b4f37745085c121419
3
+ size 9573
runs/Nov21_01-26-59_n11x8j43o5/events.out.tfevents.1732152420.n11x8j43o5.352.10 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6fa35f51def2d4b09497572d5d3c000cd389d50e92e7bad23013d14230c3e5e0
3
+ size 5958
runs/Nov21_01-27-05_n11x8j43o5/events.out.tfevents.1732152426.n11x8j43o5.352.11 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d23f2ca50affd84b5a03f3f493b29d32221735d6f14de5e8b8f916cf3240990
3
+ size 28870
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:123dcafd944f129cb34262257dad9d82278732386c201e5dcdbae4f496f2a540
3
  size 5496
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:65d24f948d8bd5c43d55238c89b87846c3bc45c8c9cb75d128d4dc98318f25d6
3
  size 5496