Instructions to use error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Genstruct-7B") model = PeftModel.from_pretrained(base_model, "error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 400, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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size 335604696
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last-checkpoint/optimizer.pt
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size 90187222
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last-checkpoint/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14244
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size 14244
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last-checkpoint/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 2080
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size 2080
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last-checkpoint/trainer_state.json
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{
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"best_metric": 1.4815335273742676,
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"best_model_checkpoint": "miner_id_24/checkpoint-200",
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"epoch": 0.
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"eval_steps": 200,
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 5.118,
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"eval_steps_per_second": 2.564,
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"step": 200
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| 1426 |
}
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| 1427 |
],
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| 1428 |
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|
@@ -1437,7 +2845,7 @@
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| 1437 |
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| 1438 |
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@@ -1451,7 +2859,7 @@
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| 1451 |
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