satanicmangoes/final-result
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- .gitattributes +1 -0
- Batch_comet_reward_100_t5.png +0 -0
- Batch_comet_reward_125_t5.png +0 -0
- Batch_comet_reward_150_t5.png +0 -0
- Batch_comet_reward_175_t5.png +0 -0
- Batch_comet_reward_200_t5.png +0 -0
- Batch_comet_reward_225_t5.png +0 -0
- Batch_comet_reward_250_t5.png +0 -0
- Batch_comet_reward_25_t5.png +0 -0
- Batch_comet_reward_275_t5.png +0 -0
- Batch_comet_reward_300_t5.png +0 -0
- Batch_comet_reward_325_t5.png +0 -0
- Batch_comet_reward_350_t5.png +0 -0
- Batch_comet_reward_375_t5.png +0 -0
- Batch_comet_reward_400_t5.png +0 -0
- Batch_comet_reward_425_t5.png +0 -0
- Batch_comet_reward_450_t5.png +0 -0
- Batch_comet_reward_475_t5.png +0 -0
- Batch_comet_reward_500_t5.png +0 -0
- Batch_comet_reward_50_t5.png +0 -0
- Batch_comet_reward_525_t5.png +0 -0
- Batch_comet_reward_550_t5.png +0 -0
- Batch_comet_reward_575_t5.png +0 -0
- Batch_comet_reward_600_t5.png +0 -0
- Batch_comet_reward_75_t5.png +0 -0
- Batch_pronoun_reward_100_t5.png +0 -0
- Batch_pronoun_reward_125_t5.png +0 -0
- Batch_pronoun_reward_150_t5.png +0 -0
- Batch_pronoun_reward_175_t5.png +0 -0
- Batch_pronoun_reward_200_t5.png +0 -0
- Batch_pronoun_reward_225_t5.png +0 -0
- Batch_pronoun_reward_250_t5.png +0 -0
- Batch_pronoun_reward_25_t5.png +0 -0
- Batch_pronoun_reward_275_t5.png +0 -0
- Batch_pronoun_reward_300_t5.png +0 -0
- Batch_pronoun_reward_325_t5.png +0 -0
- Batch_pronoun_reward_350_t5.png +0 -0
- Batch_pronoun_reward_375_t5.png +0 -0
- Batch_pronoun_reward_400_t5.png +0 -0
- Batch_pronoun_reward_425_t5.png +0 -0
- Batch_pronoun_reward_450_t5.png +0 -0
- Batch_pronoun_reward_475_t5.png +0 -0
- Batch_pronoun_reward_500_t5.png +0 -0
- Batch_pronoun_reward_50_t5.png +0 -0
- Batch_pronoun_reward_525_t5.png +0 -0
- Batch_pronoun_reward_550_t5.png +0 -0
- Batch_pronoun_reward_575_t5.png +0 -0
- Batch_pronoun_reward_600_t5.png +0 -0
- Batch_pronoun_reward_75_t5.png +0 -0
- README.md +52 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
Batch_comet_reward_100_t5.png
ADDED
|
Batch_comet_reward_125_t5.png
ADDED
|
Batch_comet_reward_150_t5.png
ADDED
|
Batch_comet_reward_175_t5.png
ADDED
|
Batch_comet_reward_200_t5.png
ADDED
|
Batch_comet_reward_225_t5.png
ADDED
|
Batch_comet_reward_250_t5.png
ADDED
|
Batch_comet_reward_25_t5.png
ADDED
|
Batch_comet_reward_275_t5.png
ADDED
|
Batch_comet_reward_300_t5.png
ADDED
|
Batch_comet_reward_325_t5.png
ADDED
|
Batch_comet_reward_350_t5.png
ADDED
|
Batch_comet_reward_375_t5.png
ADDED
|
Batch_comet_reward_400_t5.png
ADDED
|
Batch_comet_reward_425_t5.png
ADDED
|
Batch_comet_reward_450_t5.png
ADDED
|
Batch_comet_reward_475_t5.png
ADDED
|
Batch_comet_reward_500_t5.png
ADDED
|
Batch_comet_reward_50_t5.png
ADDED
|
Batch_comet_reward_525_t5.png
ADDED
|
Batch_comet_reward_550_t5.png
ADDED
|
Batch_comet_reward_575_t5.png
ADDED
|
Batch_comet_reward_600_t5.png
ADDED
|
Batch_comet_reward_75_t5.png
ADDED
|
Batch_pronoun_reward_100_t5.png
ADDED
|
Batch_pronoun_reward_125_t5.png
ADDED
|
Batch_pronoun_reward_150_t5.png
ADDED
|
Batch_pronoun_reward_175_t5.png
ADDED
|
Batch_pronoun_reward_200_t5.png
ADDED
|
Batch_pronoun_reward_225_t5.png
ADDED
|
Batch_pronoun_reward_250_t5.png
ADDED
|
Batch_pronoun_reward_25_t5.png
ADDED
|
Batch_pronoun_reward_275_t5.png
ADDED
|
Batch_pronoun_reward_300_t5.png
ADDED
|
Batch_pronoun_reward_325_t5.png
ADDED
|
Batch_pronoun_reward_350_t5.png
ADDED
|
Batch_pronoun_reward_375_t5.png
ADDED
|
Batch_pronoun_reward_400_t5.png
ADDED
|
Batch_pronoun_reward_425_t5.png
ADDED
|
Batch_pronoun_reward_450_t5.png
ADDED
|
Batch_pronoun_reward_475_t5.png
ADDED
|
Batch_pronoun_reward_500_t5.png
ADDED
|
Batch_pronoun_reward_50_t5.png
ADDED
|
Batch_pronoun_reward_525_t5.png
ADDED
|
Batch_pronoun_reward_550_t5.png
ADDED
|
Batch_pronoun_reward_575_t5.png
ADDED
|
Batch_pronoun_reward_600_t5.png
ADDED
|
Batch_pronoun_reward_75_t5.png
ADDED
|
README.md
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-nc-4.0
|
| 3 |
+
base_model: facebook/nllb-200-distilled-600M
|
| 4 |
+
tags:
|
| 5 |
+
- trl
|
| 6 |
+
- iterative-sft
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
model-index:
|
| 9 |
+
- name: working
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# working
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset.
|
| 19 |
+
|
| 20 |
+
## Model description
|
| 21 |
+
|
| 22 |
+
More information needed
|
| 23 |
+
|
| 24 |
+
## Intended uses & limitations
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Training and evaluation data
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training procedure
|
| 33 |
+
|
| 34 |
+
### Training hyperparameters
|
| 35 |
+
|
| 36 |
+
The following hyperparameters were used during training:
|
| 37 |
+
- learning_rate: 6e-06
|
| 38 |
+
- train_batch_size: 4
|
| 39 |
+
- eval_batch_size: 8
|
| 40 |
+
- seed: 42
|
| 41 |
+
- gradient_accumulation_steps: 16
|
| 42 |
+
- total_train_batch_size: 64
|
| 43 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 44 |
+
- lr_scheduler_type: linear
|
| 45 |
+
- training_steps: 1000
|
| 46 |
+
|
| 47 |
+
### Framework versions
|
| 48 |
+
|
| 49 |
+
- Transformers 4.44.0
|
| 50 |
+
- Pytorch 2.4.0
|
| 51 |
+
- Datasets 3.0.0
|
| 52 |
+
- Tokenizers 0.19.1
|