Model save
Browse files- README.md +0 -11
- adapter_config.json +2 -6
- adapter_model.safetensors +2 -2
- optimizer.pt +1 -1
README.md
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@@ -15,17 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
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# model_23
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.6307
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- eval_accuracy: 0.7747
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- eval_precision: 0.7743
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- eval_recall: 0.7747
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- eval_f1: 0.7743
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- eval_runtime: 41.9194
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- eval_samples_per_second: 292.108
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- eval_steps_per_second: 18.273
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- epoch: 4.0
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- step: 12248
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## Model description
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# model_23
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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## Model description
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path":
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"classifier",
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"score",
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"classifier",
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"score",
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"classifier",
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"score"
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],
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"peft_type": "LORA",
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"r":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"classifier",
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"score"
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],
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"peft_type": "LORA",
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"r": 4,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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adapter_model.safetensors
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optimizer.pt
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