End of training
Browse files- README.md +33 -5
- adapter_model.bin +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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@@ -40,15 +40,43 @@ The following hyperparameters were used during training:
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1206
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## Model description
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 4.2698 | 0.32 | 200 | 2.8711 |
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| 1.3101 | 0.63 | 400 | 0.4477 |
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| 0.4353 | 0.95 | 600 | 0.2831 |
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| 0.324 | 1.27 | 800 | 0.2462 |
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| 0.2806 | 1.58 | 1000 | 0.2112 |
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| 0.2527 | 1.9 | 1200 | 0.1953 |
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| 0.2256 | 2.22 | 1400 | 0.1847 |
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| 0.2206 | 2.53 | 1600 | 0.1724 |
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| 0.2048 | 2.85 | 1800 | 0.1673 |
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| 0.1872 | 3.16 | 2000 | 0.1638 |
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| 0.177 | 3.48 | 2200 | 0.1607 |
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| 0.1749 | 3.8 | 2400 | 0.1511 |
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| 0.1736 | 4.11 | 2600 | 0.1436 |
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| 0.16 | 4.43 | 2800 | 0.1424 |
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| 0.1553 | 4.75 | 3000 | 0.1444 |
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| 0.1476 | 5.06 | 3200 | 0.1399 |
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| 0.1437 | 5.38 | 3400 | 0.1351 |
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| 0.1459 | 5.7 | 3600 | 0.1309 |
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| 0.1469 | 6.01 | 3800 | 0.1277 |
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| 0.1363 | 6.33 | 4000 | 0.1290 |
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| 0.1393 | 6.65 | 4200 | 0.1278 |
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| 0.1343 | 6.96 | 4400 | 0.1285 |
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| 0.1269 | 7.28 | 4600 | 0.1271 |
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| 0.1362 | 7.59 | 4800 | 0.1206 |
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| 0.1271 | 7.91 | 5000 | 0.1256 |
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| 0.1293 | 8.23 | 5200 | 0.1239 |
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| 0.1189 | 8.54 | 5400 | 0.1227 |
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| 0.1218 | 8.86 | 5600 | 0.1209 |
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| 0.1171 | 9.18 | 5800 | 0.1234 |
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| 0.124 | 9.49 | 6000 | 0.1222 |
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| 0.1218 | 9.81 | 6200 | 0.1206 |
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### Framework versions
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 37855242
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version https://git-lfs.github.com/spec/v1
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size 37855242
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5112
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version https://git-lfs.github.com/spec/v1
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size 5112
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