Instructions to use tuantmdev/6860d41c-54b0-429a-b48d-4e896b5c9961 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/6860d41c-54b0-429a-b48d-4e896b5c9961 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "tuantmdev/6860d41c-54b0-429a-b48d-4e896b5c9961") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 350, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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{
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"best_metric": 1.5710722208023071,
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"best_model_checkpoint": "miner_id_24/checkpoint-300",
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"epoch": 0.
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"eval_steps": 50,
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"global_step":
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"is_world_process_zero": true,
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"eval_samples_per_second": 13.118,
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"eval_steps_per_second": 6.559,
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"step": 300
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}
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"logging_steps": 40,
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"attributes": {
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"early_stopping_patience_counter":
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"TrainerControl": {
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"attributes": {}
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{
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"best_metric": 1.5710722208023071,
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"best_model_checkpoint": "miner_id_24/checkpoint-300",
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"eval_steps": 50,
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"global_step": 350,
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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": 13.118,
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"eval_steps_per_second": 6.559,
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"step": 300
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{
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"grad_norm": 0.7950920462608337,
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"learning_rate": 1.4644660940672627e-05,
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"loss": 1.606,
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"step": 320
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{
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"eval_runtime": 1042.0279,
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"step": 350
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"logging_steps": 40,
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"early_stopping_threshold": 0.0
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"TrainerControl": {
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"total_flos": 1.4318745844658995e+17,
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