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kanishka
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smolm-autoreg-bpe-seed_888

Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
opt
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text-generation-inference
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kanishka commited on
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5914f09
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1 Parent(s): 92abbd7

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  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [models/smolm-autoreg-bpe-seed_888/config.json](https://huggingface.co/models/smolm-autoreg-bpe-seed_888/config.json) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.2878
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- - Accuracy: 0.5417
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  ## Model description
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@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
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  - learning_rate: 0.003
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  - train_batch_size: 64
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  - eval_batch_size: 512
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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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  - lr_scheduler_warmup_steps: 24000
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 5.8796 | 1.0 | 826 | 3.1083 | 0.4611 |
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- | 2.802 | 2.0 | 1652 | 2.7455 | 0.4965 |
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- | 2.6268 | 3.0 | 2478 | 2.5734 | 0.5116 |
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- | 2.4165 | 4.0 | 3304 | 2.4667 | 0.5211 |
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- | 2.2892 | 5.0 | 4130 | 2.3949 | 0.5288 |
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- | 2.2315 | 6.0 | 4956 | 2.3446 | 0.5338 |
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- | 2.1587 | 7.0 | 5782 | 2.3208 | 0.5374 |
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- | 2.1253 | 8.0 | 6608 | 2.3044 | 0.5394 |
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- | 2.0858 | 9.0 | 7434 | 2.2940 | 0.5404 |
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- | 2.0556 | 10.0 | 8260 | 2.2878 | 0.5417 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [models/smolm-autoreg-bpe-seed_888/config.json](https://huggingface.co/models/smolm-autoreg-bpe-seed_888/config.json) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2831
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+ - Accuracy: 0.5426
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  ## Model description
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  - learning_rate: 0.003
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  - train_batch_size: 64
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  - eval_batch_size: 512
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+ - seed: 888
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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: 24000
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 5.8023 | 1.0 | 826 | 3.1092 | 0.4621 |
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+ | 2.7942 | 2.0 | 1652 | 2.7389 | 0.4975 |
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+ | 2.625 | 3.0 | 2478 | 2.5701 | 0.5110 |
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+ | 2.412 | 4.0 | 3304 | 2.4619 | 0.5223 |
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+ | 2.2885 | 5.0 | 4130 | 2.3940 | 0.5288 |
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+ | 2.2294 | 6.0 | 4956 | 2.3464 | 0.5342 |
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+ | 2.16 | 7.0 | 5782 | 2.3206 | 0.5372 |
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+ | 2.1272 | 8.0 | 6608 | 2.3046 | 0.5395 |
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+ | 2.0865 | 9.0 | 7434 | 2.2912 | 0.5405 |
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+ | 2.0577 | 10.0 | 8260 | 2.2831 | 0.5426 |
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  ### Framework versions
pytorch_model.bin CHANGED
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