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ingredient_prune

Text2Text Generation
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t5
Generated from Trainer
text-generation-inference
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End of training

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Files changed (6) hide show
  1. README.md +59 -31
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Apr06_19-56-08_df7953592bde/events.out.tfevents.1712433370.df7953592bde.168.7 +3 -0
  5. tokenizer_config.json +7 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: apache-2.0
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- base_model: google/flan-t5-base
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # ingredient_prune
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- This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2171
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  ## Model description
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@@ -40,40 +40,68 @@ 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 |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 38.6247 | 0.18 | 10 | 28.2426 |
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- | 26.1854 | 0.36 | 20 | 20.2002 |
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- | 19.6623 | 0.55 | 30 | 13.6317 |
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- | 13.5288 | 0.73 | 40 | 6.1384 |
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- | 7.0646 | 0.91 | 50 | 4.3907 |
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- | 4.6726 | 1.09 | 60 | 4.1267 |
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- | 4.2044 | 1.27 | 70 | 3.8144 |
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- | 3.9212 | 1.45 | 80 | 3.4817 |
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- | 3.6409 | 1.64 | 90 | 2.9574 |
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- | 3.2497 | 1.82 | 100 | 2.0126 |
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- | 2.8668 | 2.0 | 110 | 1.5548 |
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- | 2.5591 | 2.18 | 120 | 1.3483 |
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- | 2.2817 | 2.36 | 130 | 0.9596 |
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- | 2.0322 | 2.55 | 140 | 0.7737 |
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- | 1.7896 | 2.73 | 150 | 0.6418 |
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- | 1.5978 | 2.91 | 160 | 0.5350 |
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- | 1.4263 | 3.09 | 170 | 0.4166 |
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- | 1.3053 | 3.27 | 180 | 0.3914 |
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- | 1.1636 | 3.45 | 190 | 0.3543 |
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- | 1.0639 | 3.64 | 200 | 0.3054 |
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- | 1.0036 | 3.82 | 210 | 0.2860 |
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- | 0.9076 | 4.0 | 220 | 0.2683 |
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- | 0.8769 | 4.18 | 230 | 0.2524 |
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- | 0.8282 | 4.36 | 240 | 0.2333 |
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- | 0.8092 | 4.55 | 250 | 0.2233 |
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- | 0.771 | 4.73 | 260 | 0.2198 |
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- | 0.7718 | 4.91 | 270 | 0.2171 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: SpamAcc/ingredient_prune
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # ingredient_prune
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+ This model is a fine-tuned version of [SpamAcc/ingredient_prune](https://huggingface.co/SpamAcc/ingredient_prune) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0432
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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: 100
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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 |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.312 | 1.82 | 100 | 0.0295 |
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+ | 0.0533 | 3.64 | 200 | 0.0149 |
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+ | 0.0247 | 5.45 | 300 | 0.0136 |
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+ | 0.0149 | 7.27 | 400 | 0.0124 |
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+ | 0.0114 | 9.09 | 500 | 0.0127 |
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+ | 0.0086 | 10.91 | 600 | 0.0127 |
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+ | 0.0075 | 12.73 | 700 | 0.0145 |
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+ | 0.0061 | 14.55 | 800 | 0.0151 |
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+ | 0.0058 | 16.36 | 900 | 0.0161 |
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+ | 0.0044 | 18.18 | 1000 | 0.0169 |
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+ | 0.0039 | 20.0 | 1100 | 0.0199 |
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+ | 0.0044 | 21.82 | 1200 | 0.0181 |
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+ | 0.0035 | 23.64 | 1300 | 0.0230 |
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+ | 0.0039 | 25.45 | 1400 | 0.0226 |
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+ | 0.0028 | 27.27 | 1500 | 0.0234 |
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+ | 0.0026 | 29.09 | 1600 | 0.0272 |
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+ | 0.0023 | 30.91 | 1700 | 0.0261 |
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+ | 0.0028 | 32.73 | 1800 | 0.0254 |
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+ | 0.0018 | 34.55 | 1900 | 0.0268 |
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+ | 0.0022 | 36.36 | 2000 | 0.0303 |
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+ | 0.002 | 38.18 | 2100 | 0.0286 |
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+ | 0.0018 | 40.0 | 2200 | 0.0299 |
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+ | 0.0024 | 41.82 | 2300 | 0.0322 |
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+ | 0.0019 | 43.64 | 2400 | 0.0328 |
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+ | 0.0015 | 45.45 | 2500 | 0.0310 |
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+ | 0.002 | 47.27 | 2600 | 0.0352 |
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+ | 0.0015 | 49.09 | 2700 | 0.0361 |
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+ | 0.0013 | 50.91 | 2800 | 0.0358 |
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+ | 0.0011 | 52.73 | 2900 | 0.0368 |
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+ | 0.0017 | 54.55 | 3000 | 0.0387 |
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+ | 0.0012 | 56.36 | 3100 | 0.0384 |
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+ | 0.0011 | 58.18 | 3200 | 0.0402 |
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+ | 0.0016 | 60.0 | 3300 | 0.0394 |
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+ | 0.0012 | 61.82 | 3400 | 0.0403 |
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+ | 0.0013 | 63.64 | 3500 | 0.0392 |
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+ | 0.0011 | 65.45 | 3600 | 0.0413 |
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+ | 0.0015 | 67.27 | 3700 | 0.0400 |
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+ | 0.0021 | 69.09 | 3800 | 0.0412 |
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+ | 0.0009 | 70.91 | 3900 | 0.0410 |
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+ | 0.0013 | 72.73 | 4000 | 0.0419 |
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+ | 0.0009 | 74.55 | 4100 | 0.0415 |
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+ | 0.0011 | 76.36 | 4200 | 0.0418 |
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+ | 0.0008 | 78.18 | 4300 | 0.0422 |
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+ | 0.0013 | 80.0 | 4400 | 0.0434 |
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+ | 0.0011 | 81.82 | 4500 | 0.0436 |
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+ | 0.0011 | 83.64 | 4600 | 0.0434 |
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+ | 0.0008 | 85.45 | 4700 | 0.0434 |
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+ | 0.0009 | 87.27 | 4800 | 0.0436 |
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+ | 0.0006 | 89.09 | 4900 | 0.0442 |
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+ | 0.0009 | 90.91 | 5000 | 0.0436 |
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+ | 0.001 | 92.73 | 5100 | 0.0434 |
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+ | 0.0008 | 94.55 | 5200 | 0.0433 |
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+ | 0.0013 | 96.36 | 5300 | 0.0434 |
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+ | 0.001 | 98.18 | 5400 | 0.0433 |
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+ | 0.0008 | 100.0 | 5500 | 0.0432 |
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  ### Framework versions
config.json CHANGED
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  {
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- "_name_or_path": "google/flan-t5-base",
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  "architectures": [
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  "T5ForConditionalGeneration"
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  ],
 
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  {
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+ "_name_or_path": "SpamAcc/ingredient_prune",
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  "architectures": [
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  "T5ForConditionalGeneration"
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  ],
model.safetensors CHANGED
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runs/Apr06_19-56-08_df7953592bde/events.out.tfevents.1712433370.df7953592bde.168.7 ADDED
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tokenizer_config.json CHANGED
@@ -930,9 +930,16 @@
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  "clean_up_tokenization_spaces": true,
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  "eos_token": "</s>",
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  "extra_ids": 100,
 
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  "model_max_length": 128,
 
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  "pad_token": "<pad>",
 
 
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  "sp_model_kwargs": {},
 
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  "tokenizer_class": "T5Tokenizer",
 
 
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  "unk_token": "<unk>"
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  }
 
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  "clean_up_tokenization_spaces": true,
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  "eos_token": "</s>",
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  "extra_ids": 100,
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+ "max_length": 128,
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  "model_max_length": 128,
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+ "pad_to_multiple_of": null,
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  "pad_token": "<pad>",
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+ "pad_token_type_id": 0,
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+ "padding_side": "right",
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  "sp_model_kwargs": {},
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+ "stride": 0,
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  "tokenizer_class": "T5Tokenizer",
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+ "truncation_side": "right",
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+ "truncation_strategy": "longest_first",
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  "unk_token": "<unk>"
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training_args.bin CHANGED
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