End of training
Browse files- README.md +14 -2
- adapter_config.json +1 -1
- added_tokens.json +3 -3
- all_results.json +19 -0
- eval_results.json +13 -0
- special_tokens_map.json +12 -4
- tokenizer.json +0 -0
- tokenizer_config.json +20 -17
- train_results.json +9 -0
- trainer_state.json +2032 -0
- training_args.bin +2 -2
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_docidx_v3_3e-5_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_docidx_v3_3e-5_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: 6.3965
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- Accuracy: 0.4106
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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_docidx_v3
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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_docidx_v3_3e-5_lora2
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| 12 |
+
results:
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| 13 |
+
- 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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name: tyzhu/lmind_nq_train6000_eval6489_v1_docidx_v3
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type: tyzhu/lmind_nq_train6000_eval6489_v1_docidx_v3
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| 19 |
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.4105641025641026
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library_name: peft
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---
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# lmind_nq_train6000_eval6489_v1_docidx_v3_3e-5_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_docidx_v3 dataset.
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| 32 |
It achieves the following results on the evaluation set:
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| 33 |
- Loss: 6.3965
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- Accuracy: 0.4106
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adapter_config.json
CHANGED
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@@ -1,6 +1,6 @@
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{
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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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| 1 |
{
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"auto_mapping": null,
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"base_model_name_or_path": "Qwen/Qwen1.5-4B",
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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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added_tokens.json
CHANGED
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@@ -1,5 +1,5 @@
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{
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"
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-
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}
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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all_results.json
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@@ -0,0 +1,19 @@
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{
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"epoch": 49.926793557833086,
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+
"eval_accuracy": 0.4105641025641026,
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"eval_bleu": 0.11807771348881327,
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| 5 |
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"eval_exact_match": 0.0,
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| 6 |
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"eval_loss": 6.396463871002197,
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| 7 |
+
"eval_prefix_exact_match": 0.018,
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| 8 |
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"eval_runtime": 5.1091,
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| 9 |
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"eval_samples": 500,
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| 10 |
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"eval_samples_per_second": 97.865,
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"eval_steps_per_second": 12.331,
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"perplexity": 599.7205945480065,
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| 13 |
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"total_flos": 1.4640977893392384e+18,
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| 14 |
+
"train_loss": 0.8871981706926899,
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| 15 |
+
"train_runtime": 51951.4747,
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| 16 |
+
"train_samples": 10925,
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| 17 |
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"train_samples_per_second": 10.515,
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| 18 |
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"train_steps_per_second": 0.328
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}
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eval_results.json
ADDED
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@@ -0,0 +1,13 @@
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{
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"epoch": 49.926793557833086,
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"eval_accuracy": 0.4105641025641026,
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| 4 |
+
"eval_bleu": 0.11807771348881327,
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| 5 |
+
"eval_exact_match": 0.0,
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| 6 |
+
"eval_loss": 6.396463871002197,
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| 7 |
+
"eval_prefix_exact_match": 0.018,
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| 8 |
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"eval_runtime": 5.1091,
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| 9 |
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"eval_samples": 500,
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| 10 |
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"eval_samples_per_second": 97.865,
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| 11 |
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"eval_steps_per_second": 12.331,
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| 12 |
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"perplexity": 599.7205945480065
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| 13 |
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}
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special_tokens_map.json
CHANGED
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@@ -1,6 +1,14 @@
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{
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-
"
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}
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<|endoftext|>"
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}
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tokenizer.json
CHANGED
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
CHANGED
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@@ -1,23 +1,24 @@
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{
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"added_tokens_decoder": {
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-
"
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-
"content": "
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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-
"
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-
"content": "
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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-
"
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-
"content": "
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"special": true
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}
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},
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-
"additional_special_tokens": [
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-
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"clean_up_tokenization_spaces": false,
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-
"eos_token": "
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-
"
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| 33 |
-
"model_max_length":
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| 34 |
-
"pad_token": "
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-
"
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-
"
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-
"
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-
"unk_token": "<unk>",
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-
"use_default_system_prompt": true
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| 40 |
}
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{
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| 2 |
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"add_prefix_space": false,
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| 3 |
"added_tokens_decoder": {
|
| 4 |
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"151643": {
|
| 5 |
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"content": "<|endoftext|>",
|
| 6 |
"lstrip": false,
|
| 7 |
"normalized": false,
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| 8 |
"rstrip": false,
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| 9 |
"single_word": false,
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| 10 |
"special": true
|
| 11 |
},
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| 12 |
+
"151644": {
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| 13 |
+
"content": "<|im_start|>",
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| 14 |
"lstrip": false,
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| 15 |
"normalized": false,
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| 16 |
"rstrip": false,
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| 17 |
"single_word": false,
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"special": true
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},
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"151645": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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| 24 |
"rstrip": false,
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"special": true
|
| 27 |
}
|
| 28 |
},
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| 29 |
+
"additional_special_tokens": [
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| 30 |
+
"<|im_start|>",
|
| 31 |
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"<|im_end|>"
|
| 32 |
+
],
|
| 33 |
+
"bos_token": null,
|
| 34 |
+
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 35 |
"clean_up_tokenization_spaces": false,
|
| 36 |
+
"eos_token": "<|endoftext|>",
|
| 37 |
+
"errors": "replace",
|
| 38 |
+
"model_max_length": 32768,
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"split_special_tokens": false,
|
| 41 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 42 |
+
"unk_token": null
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| 43 |
}
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train_results.json
ADDED
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+
{
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| 2 |
+
"epoch": 49.926793557833086,
|
| 3 |
+
"total_flos": 1.4640977893392384e+18,
|
| 4 |
+
"train_loss": 0.8871981706926899,
|
| 5 |
+
"train_runtime": 51951.4747,
|
| 6 |
+
"train_samples": 10925,
|
| 7 |
+
"train_samples_per_second": 10.515,
|
| 8 |
+
"train_steps_per_second": 0.328
|
| 9 |
+
}
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trainer_state.json
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@@ -0,0 +1,2032 @@
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| 1 |
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| 2 |
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| 8 |
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| 10 |
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| 11 |
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| 12 |
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| 14 |
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| 26 |
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| 31 |
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{
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| 33 |
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| 34 |
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