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Shakhovak
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flan-t5-base-absa-multitask-laptops

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
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End of training

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  1. README.md +20 -14
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1244
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  ## Model description
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@@ -41,24 +41,30 @@ 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: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.0145 | 0.32 | 200 | 0.3548 |
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- | 0.3938 | 0.63 | 400 | 0.2334 |
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- | 0.2852 | 0.95 | 600 | 0.1962 |
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- | 0.2251 | 1.26 | 800 | 0.1686 |
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- | 0.2024 | 1.58 | 1000 | 0.1585 |
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- | 0.1904 | 1.9 | 1200 | 0.1509 |
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- | 0.1416 | 2.21 | 1400 | 0.1457 |
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- | 0.1355 | 2.53 | 1600 | 0.1357 |
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- | 0.148 | 2.84 | 1800 | 0.1305 |
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- | 0.1447 | 3.16 | 2000 | 0.1317 |
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- | 0.112 | 3.48 | 2200 | 0.1273 |
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- | 0.1184 | 3.79 | 2400 | 0.1244 |
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1018
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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: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.2844 | 0.32 | 200 | 0.4246 |
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+ | 0.4429 | 0.63 | 400 | 0.2980 |
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+ | 0.3178 | 0.95 | 600 | 0.2268 |
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+ | 0.2319 | 1.26 | 800 | 0.1942 |
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+ | 0.2079 | 1.58 | 1000 | 0.1855 |
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+ | 0.1856 | 1.9 | 1200 | 0.1633 |
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+ | 0.1599 | 2.21 | 1400 | 0.1630 |
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+ | 0.135 | 2.53 | 1600 | 0.1485 |
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+ | 0.1409 | 2.84 | 1800 | 0.1434 |
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+ | 0.1289 | 3.16 | 2000 | 0.1258 |
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+ | 0.1128 | 3.48 | 2200 | 0.1297 |
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+ | 0.111 | 3.79 | 2400 | 0.1141 |
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+ | 0.0999 | 4.11 | 2600 | 0.1301 |
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+ | 0.0945 | 4.42 | 2800 | 0.1055 |
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+ | 0.0894 | 4.74 | 3000 | 0.1090 |
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+ | 0.0909 | 5.06 | 3200 | 0.1047 |
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+ | 0.0811 | 5.37 | 3400 | 0.1048 |
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+ | 0.0817 | 5.69 | 3600 | 0.1018 |
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  ### Framework versions
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