End of training
Browse files- README.md +7 -4
- adapter_model.safetensors +2 -2
- config.json +1 -1
- pytorch_model.bin +1 -1
README.md
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@@ -61,7 +61,7 @@ output_dir: ./outputs/lora-alpaca-pythia-160m-storytelling
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gradient_accumulation_steps: 16
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micro_batch_size: 1
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num_epochs: 3
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learning_rate: 0.
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lr_scheduler: cosine_with_restarts
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#cosine_min_lr_ratio: 0.1
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train_on_inputs: false
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optimizer: paged_adamw_8bit
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gpu_memory_limit: 8GiB
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hub_model_id: jtatman/pythia-160m-storytelling
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early_stopping_patience:
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#resume_from_checkpoint: outputs/lora-alpaca-pythia-125m/checkpoint-51040
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auto_resume_from_checkpoints: true
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local_rank:
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This model is a fine-tuned version of [EleutherAI/pythia-160m-deduped](https://huggingface.co/EleutherAI/pythia-160m-deduped) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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@@ -136,6 +136,9 @@ The following hyperparameters were used during training:
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| 4.2012 | 0.2348 | 200 | 4.1556 |
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| 4.4185 | 0.4696 | 400 | 4.8159 |
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| 5.0973 | 0.7043 | 600 | 5.0363 |
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### Framework versions
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gradient_accumulation_steps: 16
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micro_batch_size: 1
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num_epochs: 3
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learning_rate: 0.001
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lr_scheduler: cosine_with_restarts
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#cosine_min_lr_ratio: 0.1
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train_on_inputs: false
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optimizer: paged_adamw_8bit
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gpu_memory_limit: 8GiB
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hub_model_id: jtatman/pythia-160m-storytelling
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early_stopping_patience: 3
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#resume_from_checkpoint: outputs/lora-alpaca-pythia-125m/checkpoint-51040
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auto_resume_from_checkpoints: true
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local_rank:
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This model is a fine-tuned version of [EleutherAI/pythia-160m-deduped](https://huggingface.co/EleutherAI/pythia-160m-deduped) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.3539
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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| 4.2012 | 0.2348 | 200 | 4.1556 |
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| 4.4185 | 0.4696 | 400 | 4.8159 |
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| 5.0973 | 0.7043 | 600 | 5.0363 |
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| 8.1159 | 0.9391 | 800 | 8.4966 |
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| 6.7656 | 1.1739 | 1000 | 7.1575 |
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| 7.0548 | 1.4087 | 1200 | 7.3539 |
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### Framework versions
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adapter_model.safetensors
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config.json
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"rotary_emb_base": 10000,
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"rotary_pct": 0.25,
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"tie_word_embeddings": false,
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"torch_dtype": "
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"transformers_version": "4.41.2",
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"use_cache": false,
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"use_parallel_residual": true,
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"rotary_emb_base": 10000,
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"rotary_pct": 0.25,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.2",
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"use_cache": false,
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"use_parallel_residual": true,
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pytorch_model.bin
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