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 400, 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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last-checkpoint/trainer_state.json
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{
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"best_metric": 0.
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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": 7.104,
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"eval_steps_per_second": 1.776,
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"step": 300
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|
| 2142 |
}
|
| 2143 |
],
|
| 2144 |
"logging_steps": 1,
|
|
@@ -2167,7 +2875,7 @@
|
|
| 2167 |
"attributes": {}
|
| 2168 |
}
|
| 2169 |
},
|
| 2170 |
-
"total_flos":
|
| 2171 |
"train_batch_size": 4,
|
| 2172 |
"trial_name": null,
|
| 2173 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.7289469838142395,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-400",
|
| 4 |
+
"epoch": 0.08968107168880668,
|
| 5 |
"eval_steps": 100,
|
| 6 |
+
"global_step": 400,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 2139 |
"eval_samples_per_second": 7.104,
|
| 2140 |
"eval_steps_per_second": 1.776,
|
| 2141 |
"step": 300
|
| 2142 |
+
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