End of training
Browse files- README.md +14 -2
- all_results.json +16 -0
- eval_results.json +10 -0
- train_results.json +9 -0
- trainer_state.json +469 -0
README.md
CHANGED
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@@ -3,11 +3,23 @@ license: other
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base_model: Qwen/Qwen1.5-4B
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: lmind_nq_train6000_eval6489_v1_qa_Qwen_Qwen1.5-4B_3e-4_lora2
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-
results:
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library_name: peft
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---
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@@ -16,7 +28,7 @@ should probably proofread and complete it, then remove this comment. -->
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# lmind_nq_train6000_eval6489_v1_qa_Qwen_Qwen1.5-4B_3e-4_lora2
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-
This model is a fine-tuned version of [Qwen/Qwen1.5-4B](https://huggingface.co/Qwen/Qwen1.5-4B) on
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It achieves the following results on the evaluation set:
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- Loss: 2.3067
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- Accuracy: 0.5581
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base_model: Qwen/Qwen1.5-4B
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tags:
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- generated_from_trainer
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+
datasets:
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+
- tyzhu/lmind_nq_train6000_eval6489_v1_qa
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| 8 |
metrics:
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| 9 |
- accuracy
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| 10 |
model-index:
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| 11 |
- name: lmind_nq_train6000_eval6489_v1_qa_Qwen_Qwen1.5-4B_3e-4_lora2
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| 12 |
+
results:
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| 13 |
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- task:
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name: Causal Language Modeling
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type: text-generation
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dataset:
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name: tyzhu/lmind_nq_train6000_eval6489_v1_qa
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type: tyzhu/lmind_nq_train6000_eval6489_v1_qa
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.5580512820512821
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library_name: peft
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---
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# lmind_nq_train6000_eval6489_v1_qa_Qwen_Qwen1.5-4B_3e-4_lora2
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+
This model is a fine-tuned version of [Qwen/Qwen1.5-4B](https://huggingface.co/Qwen/Qwen1.5-4B) on the tyzhu/lmind_nq_train6000_eval6489_v1_qa dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3067
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- Accuracy: 0.5581
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all_results.json
ADDED
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@@ -0,0 +1,16 @@
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{
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"epoch": 19.946666666666665,
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"eval_accuracy": 0.5580512820512821,
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"eval_loss": 2.306687116622925,
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"eval_runtime": 5.446,
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"eval_samples": 500,
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"eval_samples_per_second": 91.811,
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"eval_steps_per_second": 11.568,
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"perplexity": 10.041104484434623,
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"total_flos": 6.513574498480947e+16,
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"train_loss": 0.6539978063042788,
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"train_runtime": 8293.4129,
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"train_samples": 6000,
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"train_samples_per_second": 14.469,
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"train_steps_per_second": 0.451
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}
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eval_results.json
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{
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"epoch": 19.946666666666665,
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"eval_accuracy": 0.5580512820512821,
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"eval_loss": 2.306687116622925,
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"eval_runtime": 5.446,
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"eval_samples": 500,
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"eval_samples_per_second": 91.811,
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"eval_steps_per_second": 11.568,
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"perplexity": 10.041104484434623
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}
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train_results.json
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{
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"epoch": 19.946666666666665,
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"total_flos": 6.513574498480947e+16,
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"train_loss": 0.6539978063042788,
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"train_runtime": 8293.4129,
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+
"train_samples": 6000,
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"train_samples_per_second": 14.469,
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"train_steps_per_second": 0.451
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}
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trainer_state.json
ADDED
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@@ -0,0 +1,469 @@
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{
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{
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"eval_accuracy": 0.568974358974359,
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