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 +560 -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_hotpot_train8000_eval7405_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_hotpot_train8000_eval7405_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: 3.6823
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- Accuracy: 0.4917
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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_hotpot_train8000_eval7405_v1_qa
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| 8 |
metrics:
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- accuracy
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model-index:
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- name: lmind_hotpot_train8000_eval7405_v1_qa_Qwen_Qwen1.5-4B_3e-4_lora2
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+
results:
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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_hotpot_train8000_eval7405_v1_qa
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type: tyzhu/lmind_hotpot_train8000_eval7405_v1_qa
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.49165079365079367
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library_name: peft
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---
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# lmind_hotpot_train8000_eval7405_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_hotpot_train8000_eval7405_v1_qa dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.6823
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- Accuracy: 0.4917
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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": 20.0,
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"eval_accuracy": 0.49165079365079367,
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"eval_loss": 3.6823432445526123,
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"eval_runtime": 6.0658,
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"eval_samples": 500,
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"eval_samples_per_second": 82.429,
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"eval_steps_per_second": 10.386,
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"perplexity": 39.73940419969244,
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"total_flos": 1.293538587312128e+17,
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"train_loss": 0.6841725708007812,
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"train_runtime": 11846.7386,
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"train_samples": 8000,
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"train_samples_per_second": 13.506,
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"train_steps_per_second": 0.422
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}
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eval_results.json
ADDED
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@@ -0,0 +1,10 @@
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{
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"epoch": 20.0,
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"eval_accuracy": 0.49165079365079367,
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"eval_loss": 3.6823432445526123,
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"eval_runtime": 6.0658,
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"eval_samples": 500,
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"eval_samples_per_second": 82.429,
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"eval_steps_per_second": 10.386,
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"perplexity": 39.73940419969244
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}
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train_results.json
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@@ -0,0 +1,9 @@
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{
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"epoch": 20.0,
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"total_flos": 1.293538587312128e+17,
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"train_loss": 0.6841725708007812,
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"train_runtime": 11846.7386,
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"train_samples": 8000,
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"train_samples_per_second": 13.506,
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"train_steps_per_second": 0.422
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}
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trainer_state.json
ADDED
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@@ -0,0 +1,560 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 20.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 5000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.4,
|
| 13 |
+
"grad_norm": 0.46826276183128357,
|
| 14 |
+
"learning_rate": 0.0003,
|
| 15 |
+
"loss": 2.3159,
|
| 16 |
+
"step": 100
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.8,
|
| 20 |
+
"grad_norm": 0.45000985264778137,
|
| 21 |
+
"learning_rate": 0.0003,
|
| 22 |
+
"loss": 2.248,
|
| 23 |
+
"step": 200
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 1.0,
|
| 27 |
+
"eval_accuracy": 0.5172698412698413,
|
| 28 |
+
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