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End of training

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  1. README.md +44 -6
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,12 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.9128
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- - eval_runtime: 43.2168
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- - eval_samples_per_second: 23.139
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- - eval_steps_per_second: 2.892
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- - epoch: 0.0112
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- - step: 140
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  ## Model description
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@@ -48,6 +43,49 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 3
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  ### Framework versions
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  - Transformers 4.44.2
 
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7266
 
 
 
 
 
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 3
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:-----:|:---------------:|
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+ | 0.8268 | 0.08 | 1000 | 0.7354 |
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+ | 0.7977 | 0.16 | 2000 | 0.7251 |
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+ | 0.7739 | 0.24 | 3000 | 0.7259 |
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+ | 0.771 | 0.32 | 4000 | 0.7269 |
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+ | 0.7468 | 0.4 | 5000 | 0.7269 |
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+ | 0.751 | 0.48 | 6000 | 0.7501 |
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+ | 0.7483 | 0.56 | 7000 | 0.7502 |
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+ | 0.7443 | 0.64 | 8000 | 0.7253 |
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+ | 0.7294 | 0.72 | 9000 | 0.7309 |
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+ | 0.7309 | 0.8 | 10000 | 0.7260 |
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+ | 0.7424 | 0.88 | 11000 | 0.7304 |
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+ | 0.7348 | 0.96 | 12000 | 0.7276 |
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+ | 0.7421 | 1.04 | 13000 | 0.7327 |
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+ | 0.7333 | 1.12 | 14000 | 0.7417 |
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+ | 0.7444 | 1.2 | 15000 | 0.7296 |
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+ | 0.7463 | 1.28 | 16000 | 0.7257 |
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+ | 0.7324 | 1.3600 | 17000 | 0.7253 |
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+ | 0.7297 | 1.44 | 18000 | 0.7314 |
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+ | 0.7358 | 1.52 | 19000 | 0.7253 |
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+ | 0.7442 | 1.6 | 20000 | 0.7248 |
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+ | 0.7384 | 1.6800 | 21000 | 0.7388 |
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+ | 0.7345 | 1.76 | 22000 | 0.7259 |
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+ | 0.7218 | 1.8400 | 23000 | 0.7284 |
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+ | 0.7426 | 1.92 | 24000 | 0.7253 |
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+ | 0.7375 | 2.0 | 25000 | 0.7389 |
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+ | 0.7443 | 2.08 | 26000 | 0.7305 |
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+ | 0.7286 | 2.16 | 27000 | 0.7258 |
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+ | 0.7269 | 2.24 | 28000 | 0.7264 |
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+ | 0.7391 | 2.32 | 29000 | 0.7270 |
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+ | 0.7377 | 2.4 | 30000 | 0.7283 |
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+ | 0.7319 | 2.48 | 31000 | 0.7329 |
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+ | 0.7352 | 2.56 | 32000 | 0.7254 |
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+ | 0.7141 | 2.64 | 33000 | 0.7285 |
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+ | 0.7317 | 2.7200 | 34000 | 0.7253 |
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+ | 0.7334 | 2.8 | 35000 | 0.7305 |
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+ | 0.7332 | 2.88 | 36000 | 0.7282 |
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+ | 0.7309 | 2.96 | 37000 | 0.7266 |
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+
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+
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  ### Framework versions
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  - Transformers 4.44.2
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