Instructions to use romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jhflow/mistral7b-lora-multi-turn-v2") model = PeftModel.from_pretrained(base_model, "romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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size 167832240
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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size 14244
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last-checkpoint/scheduler.pt
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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": 0.
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"best_model_checkpoint": "miner_id_24/checkpoint-
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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": 7.102,
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"eval_steps_per_second": 1.775,
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"step": 100
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|
| 726 |
}
|
| 727 |
],
|
| 728 |
"logging_steps": 1,
|
|
@@ -751,7 +1459,7 @@
|
|
| 751 |
"attributes": {}
|
| 752 |
}
|
| 753 |
},
|
| 754 |
-
"total_flos":
|
| 755 |
"train_batch_size": 4,
|
| 756 |
"trial_name": null,
|
| 757 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.7787144780158997,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-200",
|
| 4 |
+
"epoch": 0.04484053584440334,
|
| 5 |
"eval_steps": 100,
|
| 6 |
+
"global_step": 200,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 723 |
"eval_samples_per_second": 7.102,
|
| 724 |
"eval_steps_per_second": 1.775,
|
| 725 |
"step": 100
|
| 726 |
+
},
|
| 727 |
+
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