End of training
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README.md
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---
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license: apache-2.0
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base_model: EleutherAI/pythia-1b-deduped
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tags:
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- generated_from_trainer
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model-index:
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- name: pythia-1b-deduped-wiki_r_64_alpha_16
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results: []
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library_name: peft
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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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# pythia-1b-deduped-wiki_r_64_alpha_16
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This model is a fine-tuned version of [EleutherAI/pythia-1b-deduped](https://huggingface.co/EleutherAI/pythia-1b-deduped) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0297
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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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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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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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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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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_ratio: 0.03
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.0892 | 0.3 | 71 | 2.0820 |
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| 1.9761 | 0.61 | 142 | 2.0623 |
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| 1.9197 | 0.91 | 213 | 2.0522 |
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| 1.8748 | 1.21 | 284 | 2.0495 |
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| 1.9705 | 1.51 | 355 | 2.0388 |
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| 1.946 | 1.82 | 426 | 2.0349 |
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| 2.002 | 2.12 | 497 | 2.0329 |
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| 1.8831 | 2.42 | 568 | 2.0358 |
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| 1.8374 | 2.73 | 639 | 2.0297 |
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### Framework versions
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- PEFT 0.4.0
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.0
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- Tokenizers 0.13.3
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