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Oysiyl
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elvish-translator-quenya-t5-small

Text2Text Generation
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t5
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text-generation-inference
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End of training

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Files changed (12) hide show
  1. README.md +14 -9
  2. model.safetensors +1 -1
  3. runs/Sep17_19-36-17_ip-10-192-12-112/events.out.tfevents.1726601782.ip-10-192-12-112.1319.18 +3 -0
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  5. runs/Sep22_09-15-13_ip-10-192-12-209/events.out.tfevents.1726996524.ip-10-192-12-209.1556.0 +3 -0
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  10. runs/Sep22_10-00-02_ip-10-192-12-209/events.out.tfevents.1726999203.ip-10-192-12-209.43955.0 +3 -0
  11. tokenizer.json +6 -1
  12. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.1552
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- - Bleu: 0.0813
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- - Gen Len: 16.4792
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  ## Model description
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@@ -45,18 +45,23 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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- | 4.9485 | 1.0 | 144 | 4.4460 | 0.0 | 16.875 |
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- | 4.515 | 2.0 | 288 | 4.2735 | 0.0 | 16.625 |
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- | 4.3579 | 3.0 | 432 | 4.1977 | 0.0 | 16.7014 |
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- | 4.3095 | 4.0 | 576 | 4.1644 | 0.0818 | 16.5417 |
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- | 4.2744 | 5.0 | 720 | 4.1552 | 0.0813 | 16.4792 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.9119
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+ - Bleu: 0.1206
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+ - Gen Len: 16.6875
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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+ | 4.9376 | 1.0 | 144 | 4.3320 | 0.1122 | 16.9514 |
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+ | 4.5062 | 2.0 | 288 | 4.1559 | 0.1191 | 15.9653 |
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+ | 4.3624 | 3.0 | 432 | 4.0699 | 0.1118 | 16.7361 |
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+ | 4.2832 | 4.0 | 576 | 4.0222 | 0.1474 | 16.3125 |
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+ | 4.2286 | 5.0 | 720 | 3.9854 | 0.1421 | 16.2778 |
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+ | 4.1762 | 6.0 | 864 | 3.9550 | 0.1107 | 16.9583 |
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+ | 4.14 | 7.0 | 1008 | 3.9386 | 0.1215 | 16.1944 |
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+ | 4.087 | 8.0 | 1152 | 3.9221 | 0.1232 | 16.7153 |
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+ | 4.0988 | 9.0 | 1296 | 3.9154 | 0.1206 | 16.6875 |
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+ | 4.0738 | 10.0 | 1440 | 3.9119 | 0.1206 | 16.6875 |
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  ### Framework versions
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