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vincentyandex/ch-to-en-novel-ft

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  1. README.md +6 -13
  2. adapter_model.safetensors +1 -1
  3. runs/Mar14_05-59-30_16e9007ae1d4/events.out.tfevents.1710395975.16e9007ae1d4.1252.0 +3 -0
  4. runs/Mar14_07-04-08_16e9007ae1d4/events.out.tfevents.1710399854.16e9007ae1d4.1252.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0465
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  ## Model description
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@@ -44,29 +44,22 @@ 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_steps: 2
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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 |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.5009 | 0.99 | 25 | 2.3047 |
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- | 2.2382 | 1.98 | 50 | 2.1932 |
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- | 2.1235 | 2.97 | 75 | 2.1300 |
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- | 1.965 | 4.0 | 101 | 2.0837 |
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- | 1.9833 | 4.99 | 126 | 2.0611 |
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- | 1.9385 | 5.98 | 151 | 2.0519 |
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- | 1.9041 | 6.97 | 176 | 2.0469 |
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- | 1.8035 | 8.0 | 202 | 2.0451 |
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- | 1.854 | 8.99 | 227 | 2.0466 |
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- | 1.8044 | 9.9 | 250 | 2.0465 |
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  ### Framework versions
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  - PEFT 0.9.0
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  - Transformers 4.38.2
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- - Pytorch 2.1.0+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1164
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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_steps: 2
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+ - num_epochs: 3
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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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+ | 2.289 | 1.0 | 173 | 2.1528 |
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+ | 2.0978 | 2.0 | 347 | 2.1227 |
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+ | 2.0557 | 2.99 | 519 | 2.1164 |
 
 
 
 
 
 
 
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  ### Framework versions
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  - PEFT 0.9.0
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  - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
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