End of training
Browse files- README.md +14 -2
- all_results.json +22 -0
- eval_results.json +16 -0
- train_results.json +9 -0
- trainer_state.json +1643 -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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| 7 |
- accuracy
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model-index:
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| 9 |
- name: lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3_3e-5_lora2
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-
results:
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library_name: peft
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---
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| 13 |
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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_reciteonly_qa_v3_3e-5_lora2
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| 18 |
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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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| 20 |
It achieves the following results on the evaluation set:
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| 21 |
- Loss: 3.5443
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| 22 |
- Accuracy: 0.5730
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base_model: Qwen/Qwen1.5-4B
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| 4 |
tags:
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| 5 |
- generated_from_trainer
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| 6 |
+
datasets:
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| 7 |
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- tyzhu/lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3
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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_reciteonly_qa_v3_3e-5_lora2
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| 12 |
+
results:
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| 13 |
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- task:
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| 14 |
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name: Causal Language Modeling
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| 15 |
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type: text-generation
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| 16 |
+
dataset:
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| 17 |
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name: tyzhu/lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3
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| 18 |
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type: tyzhu/lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3
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| 19 |
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metrics:
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| 20 |
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- name: Accuracy
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type: accuracy
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value: 0.5729865470852018
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library_name: peft
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| 24 |
---
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| 25 |
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| 29 |
# lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3_3e-5_lora2
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| 30 |
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| 31 |
+
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_reciteonly_qa_v3 dataset.
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| 32 |
It achieves the following results on the evaluation set:
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- Loss: 3.5443
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- Accuracy: 0.5730
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all_results.json
ADDED
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@@ -0,0 +1,22 @@
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{
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"epoch": 49.86666666666667,
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"eval_accuracy": 0.5729865470852018,
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+
"eval_exact_match": 7.8,
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"eval_f1": 13.20940836940837,
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"eval_loss": 3.544297456741333,
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"eval_qa_bleu": 7.766714267098657,
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| 8 |
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"eval_qa_exact_match": 0.062,
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| 9 |
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"eval_recite_bleu": 11.735267575530193,
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"eval_recite_exact_match": 0.022,
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"eval_runtime": 5.6115,
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| 12 |
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"eval_samples": 500,
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| 13 |
+
"eval_samples_per_second": 89.103,
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| 14 |
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"eval_steps_per_second": 11.227,
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+
"perplexity": 34.61535801134306,
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"total_flos": 1.0317599310547517e+18,
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+
"train_loss": 0.7227143578350863,
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| 18 |
+
"train_runtime": 30699.0298,
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| 19 |
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"train_samples": 6000,
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"train_samples_per_second": 9.772,
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"train_steps_per_second": 0.305
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}
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eval_results.json
ADDED
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@@ -0,0 +1,16 @@
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{
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"epoch": 49.86666666666667,
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"eval_accuracy": 0.5729865470852018,
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"eval_exact_match": 7.8,
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"eval_f1": 13.20940836940837,
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"eval_loss": 3.544297456741333,
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"eval_qa_bleu": 7.766714267098657,
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"eval_qa_exact_match": 0.062,
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"eval_recite_bleu": 11.735267575530193,
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"eval_recite_exact_match": 0.022,
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"eval_runtime": 5.6115,
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"eval_samples": 500,
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"eval_samples_per_second": 89.103,
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"eval_steps_per_second": 11.227,
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"perplexity": 34.61535801134306
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}
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train_results.json
ADDED
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@@ -0,0 +1,9 @@
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{
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"epoch": 49.86666666666667,
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"total_flos": 1.0317599310547517e+18,
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"train_loss": 0.7227143578350863,
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+
"train_runtime": 30699.0298,
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"train_samples": 6000,
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"train_samples_per_second": 9.772,
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"train_steps_per_second": 0.305
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}
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trainer_state.json
ADDED
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@@ -0,0 +1,1643 @@
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