End of training
Browse files- README.md +143 -0
- config.json +37 -0
- model.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +214 -0
- training_args.bin +3 -0
README.md
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| 1 |
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---
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license: apache-2.0
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base_model: RylanSchaeffer/EleutherAI_pythia-70m_tatsu-lab_alpaca_farm_sftseed0
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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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| 9 |
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- accuracy
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| 10 |
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model-index:
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- name: pythia-70m_tatsu-lab_alpaca_farm_sftsd0_policy_pythia-6.9b_gold_pythia-6.9b_noise0.2_rmsd4
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/rylan/switching-rms-rm/runs/dko2i1d1)
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| 19 |
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# pythia-70m_tatsu-lab_alpaca_farm_sftsd0_policy_pythia-6.9b_gold_pythia-6.9b_noise0.2_rmsd4
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This model is a fine-tuned version of [RylanSchaeffer/EleutherAI_pythia-70m_tatsu-lab_alpaca_farm_sftseed0](https://huggingface.co/RylanSchaeffer/EleutherAI_pythia-70m_tatsu-lab_alpaca_farm_sftseed0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7361
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- Accuracy: 0.5448
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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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| 44 |
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- train_batch_size: 16
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- eval_batch_size: 8
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| 46 |
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- seed: 4
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| 47 |
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- gradient_accumulation_steps: 2
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| 48 |
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- total_train_batch_size: 32
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| 49 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 50 |
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- lr_scheduler_type: linear
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| 51 |
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- lr_scheduler_warmup_ratio: 0.025
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| 52 |
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- num_epochs: 5
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| 53 |
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### Training results
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| 55 |
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| 56 |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 57 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 58 |
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| No log | 0 | 0 | 0.8760 | 0.4952 |
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| 59 |
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| 0.8602 | 0.0648 | 100 | 0.8700 | 0.5052 |
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| 60 |
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| 0.8477 | 0.1295 | 200 | 0.8512 | 0.5075 |
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| 61 |
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| 0.8875 | 0.1943 | 300 | 0.8288 | 0.5106 |
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| 62 |
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| 0.8263 | 0.2591 | 400 | 0.8145 | 0.5171 |
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| 63 |
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| 0.7877 | 0.3238 | 500 | 0.8051 | 0.5079 |
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| 64 |
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| 0.7886 | 0.3886 | 600 | 0.7899 | 0.5344 |
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| 65 |
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| 0.7859 | 0.4534 | 700 | 0.7865 | 0.5263 |
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| 66 |
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| 0.8393 | 0.5181 | 800 | 0.7794 | 0.5225 |
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| 67 |
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| 0.7919 | 0.5829 | 900 | 0.7676 | 0.5336 |
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| 0.741 | 0.6477 | 1000 | 0.7694 | 0.5267 |
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| 0.7088 | 0.7124 | 1100 | 0.7634 | 0.5286 |
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| 0.7542 | 0.7772 | 1200 | 0.7636 | 0.5256 |
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| 0.7837 | 0.8420 | 1300 | 0.7582 | 0.5333 |
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| 0.7461 | 0.9067 | 1400 | 0.7526 | 0.5348 |
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| 73 |
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| 0.7674 | 0.9715 | 1500 | 0.7537 | 0.5306 |
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| 74 |
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| 0.7818 | 1.0363 | 1600 | 0.7470 | 0.5409 |
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| 0.7251 | 1.1010 | 1700 | 0.7470 | 0.5479 |
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| 0.6958 | 1.1658 | 1800 | 0.7428 | 0.5375 |
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| 0.7559 | 1.2306 | 1900 | 0.7444 | 0.5433 |
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| 0.7135 | 1.2953 | 2000 | 0.7420 | 0.5471 |
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| 0.7507 | 1.3601 | 2100 | 0.7433 | 0.5333 |
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| 0.684 | 1.4249 | 2200 | 0.7445 | 0.5506 |
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| 0.8107 | 1.4896 | 2300 | 0.7400 | 0.5459 |
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| 0.7526 | 1.5544 | 2400 | 0.7438 | 0.5313 |
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| 0.7405 | 1.6192 | 2500 | 0.7414 | 0.5336 |
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| 0.7509 | 1.6839 | 2600 | 0.7365 | 0.5402 |
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| 0.7731 | 1.7487 | 2700 | 0.7407 | 0.5436 |
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| 0.7534 | 1.8135 | 2800 | 0.7369 | 0.5436 |
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| 0.7607 | 1.8782 | 2900 | 0.7404 | 0.5340 |
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| 0.7525 | 1.9430 | 3000 | 0.7366 | 0.5456 |
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| 0.7276 | 2.0078 | 3100 | 0.7377 | 0.5463 |
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| 0.7188 | 2.0725 | 3200 | 0.7393 | 0.5402 |
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| 0.7393 | 2.1373 | 3300 | 0.7413 | 0.5479 |
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| 0.7584 | 2.2021 | 3400 | 0.7395 | 0.5402 |
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| 0.7131 | 2.2668 | 3500 | 0.7405 | 0.5459 |
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| 0.719 | 2.3316 | 3600 | 0.7396 | 0.5402 |
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| 0.7554 | 2.3964 | 3700 | 0.7400 | 0.5386 |
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| 0.7405 | 2.4611 | 3800 | 0.7387 | 0.5440 |
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| 0.7241 | 2.5259 | 3900 | 0.7370 | 0.5506 |
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| 0.7639 | 2.5907 | 4000 | 0.7407 | 0.5367 |
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| 0.7445 | 2.6554 | 4100 | 0.7424 | 0.5409 |
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| 0.7208 | 2.7202 | 4200 | 0.7412 | 0.5394 |
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| 0.6943 | 2.7850 | 4300 | 0.7399 | 0.5421 |
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| 0.7786 | 2.8497 | 4400 | 0.7391 | 0.5444 |
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| 0.6872 | 2.9145 | 4500 | 0.7378 | 0.5413 |
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| 0.7482 | 2.9793 | 4600 | 0.7391 | 0.5436 |
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| 0.7052 | 3.0440 | 4700 | 0.7387 | 0.5452 |
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| 0.7101 | 3.1088 | 4800 | 0.7381 | 0.5448 |
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| 107 |
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| 0.7355 | 3.1736 | 4900 | 0.7390 | 0.5429 |
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| 108 |
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| 0.7271 | 3.2383 | 5000 | 0.7365 | 0.5402 |
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| 109 |
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| 0.7477 | 3.3031 | 5100 | 0.7413 | 0.5398 |
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| 0.7566 | 3.3679 | 5200 | 0.7388 | 0.5398 |
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| 111 |
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| 0.7372 | 3.4326 | 5300 | 0.7401 | 0.5363 |
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| 112 |
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| 0.7258 | 3.4974 | 5400 | 0.7384 | 0.5467 |
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| 113 |
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| 0.7233 | 3.5622 | 5500 | 0.7389 | 0.5471 |
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| 114 |
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| 0.7402 | 3.6269 | 5600 | 0.7406 | 0.5483 |
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| 115 |
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| 0.7111 | 3.6917 | 5700 | 0.7341 | 0.5456 |
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| 116 |
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| 0.7417 | 3.7565 | 5800 | 0.7387 | 0.5352 |
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| 117 |
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| 0.7308 | 3.8212 | 5900 | 0.7381 | 0.5421 |
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| 118 |
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| 0.7259 | 3.8860 | 6000 | 0.7399 | 0.5521 |
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| 119 |
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| 0.7255 | 3.9508 | 6100 | 0.7407 | 0.5421 |
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| 120 |
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| 0.7549 | 4.0155 | 6200 | 0.7418 | 0.5383 |
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| 121 |
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| 0.7355 | 4.0803 | 6300 | 0.7380 | 0.5383 |
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| 122 |
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| 0.7696 | 4.1451 | 6400 | 0.7405 | 0.5440 |
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| 123 |
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| 0.7103 | 4.2098 | 6500 | 0.7396 | 0.5313 |
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| 124 |
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| 0.7509 | 4.2746 | 6600 | 0.7406 | 0.5483 |
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| 125 |
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| 0.7498 | 4.3394 | 6700 | 0.7372 | 0.5459 |
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| 126 |
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| 0.7517 | 4.4041 | 6800 | 0.7387 | 0.5494 |
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| 127 |
+
| 0.7351 | 4.4689 | 6900 | 0.7407 | 0.5359 |
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| 128 |
+
| 0.7631 | 4.5337 | 7000 | 0.7372 | 0.5406 |
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| 129 |
+
| 0.734 | 4.5984 | 7100 | 0.7405 | 0.5517 |
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| 130 |
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| 0.7188 | 4.6632 | 7200 | 0.7354 | 0.5483 |
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| 131 |
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| 0.7522 | 4.7280 | 7300 | 0.7417 | 0.5429 |
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| 132 |
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| 0.7437 | 4.7927 | 7400 | 0.7397 | 0.5406 |
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| 133 |
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| 0.7688 | 4.8575 | 7500 | 0.7405 | 0.5379 |
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| 134 |
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| 0.6892 | 4.9223 | 7600 | 0.7383 | 0.5467 |
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| 135 |
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| 0.7512 | 4.9870 | 7700 | 0.7369 | 0.5517 |
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| 136 |
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| 137 |
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### Framework versions
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- Transformers 4.43.2
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- Pytorch 2.3.0+cu121
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| 142 |
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- Datasets 2.20.0
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| 143 |
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- Tokenizers 0.19.1
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config.json
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{
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| 2 |
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"_name_or_path": "RylanSchaeffer/EleutherAI_pythia-70m_tatsu-lab_alpaca_farm_sftseed0",
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| 3 |
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"architectures": [
|
| 4 |
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"GPTNeoXForSequenceClassification"
|
| 5 |
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],
|
| 6 |
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"attention_bias": true,
|
| 7 |
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"attention_dropout": 0.0,
|
| 8 |
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"bos_token_id": 0,
|
| 9 |
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"classifier_dropout": 0.1,
|
| 10 |
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"eos_token_id": 0,
|
| 11 |
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"hidden_act": "gelu",
|
| 12 |
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"hidden_dropout": 0.0,
|
| 13 |
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"hidden_size": 512,
|
| 14 |
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"id2label": {
|
| 15 |
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"0": "LABEL_0"
|
| 16 |
+
},
|
| 17 |
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"initializer_range": 0.02,
|
| 18 |
+
"intermediate_size": 2048,
|
| 19 |
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"label2id": {
|
| 20 |
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"LABEL_0": 0
|
| 21 |
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},
|
| 22 |
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"layer_norm_eps": 1e-05,
|
| 23 |
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"max_position_embeddings": 2048,
|
| 24 |
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"model_type": "gpt_neox",
|
| 25 |
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"num_attention_heads": 8,
|
| 26 |
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"num_hidden_layers": 6,
|
| 27 |
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"pad_token_id": 0,
|
| 28 |
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"rope_scaling": null,
|
| 29 |
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"rotary_emb_base": 10000,
|
| 30 |
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"rotary_pct": 0.25,
|
| 31 |
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"tie_word_embeddings": false,
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| 32 |
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"torch_dtype": "bfloat16",
|
| 33 |
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"transformers_version": "4.43.2",
|
| 34 |
+
"use_cache": false,
|
| 35 |
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"use_parallel_residual": true,
|
| 36 |
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"vocab_size": 50304
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| 37 |
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1c674056e2702747e8b652688f5c06bd2241be8a0eef1e1b99094952f758649f
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| 3 |
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size 89351576
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special_tokens_map.json
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| 1 |
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{
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| 2 |
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"bos_token": {
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| 3 |
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"content": "<|endoftext|>",
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| 4 |
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"lstrip": false,
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| 5 |
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"normalized": false,
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| 6 |
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"rstrip": false,
|
| 7 |
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"single_word": false
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| 8 |
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},
|
| 9 |
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"eos_token": {
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| 10 |
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"content": "<|endoftext|>",
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| 11 |
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"lstrip": false,
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| 12 |
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"normalized": false,
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| 13 |
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"rstrip": false,
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| 14 |
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"single_word": false
|
| 15 |
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},
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| 16 |
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"pad_token": "<|endoftext|>",
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| 17 |
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"unk_token": {
|
| 18 |
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"content": "<|endoftext|>",
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| 19 |
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"lstrip": false,
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| 20 |
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"normalized": false,
|
| 21 |
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"rstrip": false,
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| 22 |
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"single_word": false
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| 23 |
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}
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| 24 |
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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| 1 |
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| 2 |
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|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bfe7f3af6f35eecaa5a3532953b506d7c9ff235400b023ad1154c8ac090c4879
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| 3 |
+
size 5368
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