Instructions to use bane5631/a649fb20-63c4-4576-88b2-d4c959b78475 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bane5631/a649fb20-63c4-4576-88b2-d4c959b78475 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Orenguteng/Llama-3-8B-Lexi-Uncensored") model = PeftModel.from_pretrained(base_model, "bane5631/a649fb20-63c4-4576-88b2-d4c959b78475") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 291, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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size 671149168
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last-checkpoint/optimizer.pt
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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 1064
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size 1064
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last-checkpoint/trainer_state.json
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{
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"best_metric": 2.0106985569000244,
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"best_model_checkpoint": "miner_id_24/checkpoint-200",
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-
"epoch":
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"eval_steps": 100,
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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": 10.421,
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"eval_steps_per_second": 2.616,
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"step": 200
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|
| 1434 |
}
|
| 1435 |
],
|
| 1436 |
"logging_steps": 1,
|
|
@@ -1454,12 +2091,12 @@
|
|
| 1454 |
"should_evaluate": false,
|
| 1455 |
"should_log": false,
|
| 1456 |
"should_save": true,
|
| 1457 |
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"should_training_stop":
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| 1458 |
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| 1459 |
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| 1460 |
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| 1461 |
},
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| 1462 |
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{
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| 4 |
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| 5 |
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| 1431 |
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| 1432 |
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| 1433 |
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| 1434 |
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{
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