abhi5hekjangid
commited on
End of training
Browse files- README.md +15 -3
- adapter_config.json +5 -5
- adapter_model.safetensors +2 -2
- runs/Jan24_08-21-41_89b7d5a0e94a/events.out.tfevents.1706084541.89b7d5a0e94a.858.0 +3 -0
- runs/Jan24_08-24-23_89b7d5a0e94a/events.out.tfevents.1706084671.89b7d5a0e94a.858.1 +3 -0
- runs/Jan24_08-29-57_89b7d5a0e94a/events.out.tfevents.1706085002.89b7d5a0e94a.858.2 +3 -0
- runs/Jan24_08-31-40_89b7d5a0e94a/events.out.tfevents.1706085102.89b7d5a0e94a.858.3 +3 -0
- runs/Jan24_08-32-40_89b7d5a0e94a/events.out.tfevents.1706085163.89b7d5a0e94a.858.4 +3 -0
- special_tokens_map.json +1 -1
- tokenizer.json +1 -1
- tokenizer_config.json +1 -1
- training_args.bin +1 -1
README.md
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# phi-2-finetuned-abhishek
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on
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## Model description
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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:
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- eval_batch_size: 8
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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: cosine
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### Training results
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### Framework versions
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# phi-2-finetuned-abhishek
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9799
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## Model description
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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: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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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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- lr_scheduler_warmup_ratio: 0.3
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- num_epochs: 4
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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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| 1.2648 | 1.0 | 779 | 1.1722 |
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| 1.0878 | 2.0 | 1558 | 1.0711 |
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| 0.9319 | 3.0 | 2338 | 0.9918 |
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| 0.8719 | 4.0 | 3116 | 0.9799 |
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### Framework versions
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adapter_config.json
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{
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"alpha_pattern": {},
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"base_model_name_or_path":
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"bias": "none",
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"inference_mode": true,
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"layers_pattern": null,
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"loftq_config": {},
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"lora_alpha":
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"megatron_config": null,
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"peft_type": "LORA",
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"r":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"Wqkv",
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"fc2"
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"fc1"
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],
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"task_type": "CAUSAL_LM"
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}
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"layers_pattern": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"fc1",
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"Wqkv",
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"fc2"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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training_args.bin
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