Model save
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: mnoukhov/pythia160m-sft-tldr
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tags:
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- trl
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- reward-trainer
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: pythia160m-rm-tldr6.9b
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# pythia160m-rm-tldr6.9b
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This model is a fine-tuned version of [mnoukhov/pythia160m-sft-tldr](https://huggingface.co/mnoukhov/pythia160m-sft-tldr) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5486
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- Accuracy: 0.7121
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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- total_eval_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| No log | 0.2012 | 73 | 0.5667 | 0.6998 |
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| 0.6204 | 0.4025 | 146 | 0.5560 | 0.7120 |
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| 0.5593 | 0.6037 | 219 | 0.5532 | 0.7078 |
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| 0.5593 | 0.8050 | 292 | 0.5486 | 0.7121 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 494777904
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e9654b25be028b60e1210565a868be0564975a382a623e250a3a17158cd45e2
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size 494777904
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