Instructions to use beast33/5bd4e52a-1069-4c7f-a5c9-6901e92ca4a8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/5bd4e52a-1069-4c7f-a5c9-6901e92ca4a8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-1.7B") model = PeftModel.from_pretrained(base_model, "beast33/5bd4e52a-1069-4c7f-a5c9-6901e92ca4a8") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500, 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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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": 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": 14.606,
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"eval_steps_per_second": 3.652,
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"step": 400
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| 2850 |
}
|
| 2851 |
],
|
| 2852 |
"logging_steps": 1,
|
|
@@ -2870,12 +3578,12 @@
|
|
| 2870 |
"should_evaluate": false,
|
| 2871 |
"should_log": false,
|
| 2872 |
"should_save": true,
|
| 2873 |
-
"should_training_stop":
|
| 2874 |
},
|
| 2875 |
"attributes": {}
|
| 2876 |
}
|
| 2877 |
},
|
| 2878 |
-
"total_flos": 1.
|
| 2879 |
"train_batch_size": 8,
|
| 2880 |
"trial_name": null,
|
| 2881 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.6839617490768433,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-500",
|
| 4 |
+
"epoch": 0.09961647656522389,
|
| 5 |
"eval_steps": 100,
|
| 6 |
+
"global_step": 500,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
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| 3589 |
"trial_params": null
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