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lemexp-task1-template_small-Qwen2.5-1.5B-ddp-8lr

PEFT
Safetensors
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lbourdois commited on
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Improve language tag

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Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

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  1. README.md +135 -121
README.md CHANGED
@@ -1,122 +1,136 @@
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- ---
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- library_name: peft
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- license: apache-2.0
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- base_model: Qwen/Qwen2.5-1.5B
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- tags:
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- - generated_from_trainer
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- model-index:
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- - name: lemexp-task1-template_small-Qwen2.5-1.5B-ddp-8lr
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- results: []
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- ---
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-
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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- # lemexp-task1-template_small-Qwen2.5-1.5B-ddp-8lr
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-
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- This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.3249
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 0.0008
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- - train_batch_size: 1
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- - eval_batch_size: 2
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- - seed: 42
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- - distributed_type: multi-GPU
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- - num_devices: 8
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- - total_train_batch_size: 8
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- - total_eval_batch_size: 16
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- - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- - lr_scheduler_type: linear
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- - num_epochs: 12
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- - mixed_precision_training: Native AMP
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-------:|:-----:|:---------------:|
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- | 0.5907 | 0.2001 | 1258 | 0.5642 |
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- | 0.5363 | 0.4002 | 2516 | 0.5205 |
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- | 0.521 | 0.6003 | 3774 | 0.4889 |
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- | 0.5061 | 0.8004 | 5032 | 0.4806 |
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- | 0.4959 | 1.0005 | 6290 | 0.4624 |
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- | 0.4793 | 1.2006 | 7548 | 0.4559 |
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- | 0.4771 | 1.4007 | 8806 | 0.4519 |
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- | 0.4701 | 1.6008 | 10064 | 0.4431 |
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- | 0.4734 | 1.8009 | 11322 | 0.4480 |
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- | 0.4913 | 2.0010 | 12580 | 0.4428 |
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- | 0.4523 | 2.2010 | 13838 | 0.4328 |
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- | 0.4518 | 2.4011 | 15096 | 0.4327 |
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- | 0.4503 | 2.6012 | 16354 | 0.4332 |
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- | 0.4428 | 2.8013 | 17612 | 0.4187 |
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- | 0.444 | 3.0014 | 18870 | 0.4209 |
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- | 0.4286 | 3.2015 | 20128 | 0.4180 |
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- | 0.4326 | 3.4016 | 21386 | 0.4132 |
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- | 0.4311 | 3.6017 | 22644 | 0.4099 |
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- | 0.4254 | 3.8018 | 23902 | 0.4069 |
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- | 0.4231 | 4.0019 | 25160 | 0.3985 |
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- | 0.4166 | 4.2020 | 26418 | 0.3994 |
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- | 0.4127 | 4.4021 | 27676 | 0.3949 |
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- | 0.4063 | 4.6022 | 28934 | 0.3907 |
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- | 0.4089 | 4.8023 | 30192 | 0.3885 |
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- | 0.4041 | 5.0024 | 31450 | 0.3907 |
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- | 0.3926 | 5.2025 | 32708 | 0.3882 |
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- | 0.39 | 5.4026 | 33966 | 0.3843 |
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- | 0.3899 | 5.6027 | 35224 | 0.3794 |
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- | 0.3902 | 5.8028 | 36482 | 0.3769 |
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- | 0.3896 | 6.0029 | 37740 | 0.3720 |
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- | 0.3781 | 6.2030 | 38998 | 0.3735 |
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- | 0.3764 | 6.4031 | 40256 | 0.3683 |
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- | 0.3719 | 6.6031 | 41514 | 0.3692 |
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- | 0.3767 | 6.8032 | 42772 | 0.3648 |
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- | 0.3745 | 7.0033 | 44030 | 0.3624 |
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- | 0.3593 | 7.2034 | 45288 | 0.3636 |
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- | 0.3603 | 7.4035 | 46546 | 0.3555 |
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- | 0.3596 | 7.6036 | 47804 | 0.3522 |
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- | 0.3567 | 7.8037 | 49062 | 0.3541 |
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- | 0.3553 | 8.0038 | 50320 | 0.3514 |
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- | 0.3427 | 8.2039 | 51578 | 0.3451 |
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- | 0.3434 | 8.4040 | 52836 | 0.3480 |
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- | 0.3465 | 8.6041 | 54094 | 0.3443 |
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- | 0.3411 | 8.8042 | 55352 | 0.3435 |
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- | 0.3402 | 9.0043 | 56610 | 0.3422 |
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- | 0.3253 | 9.2044 | 57868 | 0.3404 |
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- | 0.3251 | 9.4045 | 59126 | 0.3361 |
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- | 0.3263 | 9.6046 | 60384 | 0.3355 |
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- | 0.3258 | 9.8047 | 61642 | 0.3321 |
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- | 0.3289 | 10.0048 | 62900 | 0.3315 |
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- | 0.3093 | 10.2049 | 64158 | 0.3345 |
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- | 0.3113 | 10.4050 | 65416 | 0.3326 |
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- | 0.3084 | 10.6051 | 66674 | 0.3299 |
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- | 0.3098 | 10.8052 | 67932 | 0.3277 |
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- | 0.3064 | 11.0052 | 69190 | 0.3266 |
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- | 0.2951 | 11.2053 | 70448 | 0.3289 |
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- | 0.2951 | 11.4054 | 71706 | 0.3259 |
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- | 0.2939 | 11.6055 | 72964 | 0.3255 |
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- | 0.2923 | 11.8056 | 74222 | 0.3249 |
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-
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-
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- ### Framework versions
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-
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- - PEFT 0.14.0
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- - Transformers 4.47.0
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- - Pytorch 2.5.1+cu124
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- - Datasets 3.2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - Tokenizers 0.21.0
 
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+ ---
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+ library_name: peft
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+ license: apache-2.0
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+ base_model: Qwen/Qwen2.5-1.5B
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+ tags:
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+ - generated_from_trainer
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+ language:
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+ - zho
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+ - eng
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+ - fra
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+ - spa
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+ - por
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+ - deu
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+ - ita
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+ - rus
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+ - jpn
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+ - kor
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+ - vie
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+ - tha
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+ - ara
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+ model-index:
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+ - name: lemexp-task1-template_small-Qwen2.5-1.5B-ddp-8lr
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+ results: []
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+ ---
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+
26
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
27
+ should probably proofread and complete it, then remove this comment. -->
28
+
29
+ # lemexp-task1-template_small-Qwen2.5-1.5B-ddp-8lr
30
+
31
+ This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) on an unknown dataset.
32
+ It achieves the following results on the evaluation set:
33
+ - Loss: 0.3249
34
+
35
+ ## Model description
36
+
37
+ More information needed
38
+
39
+ ## Intended uses & limitations
40
+
41
+ More information needed
42
+
43
+ ## Training and evaluation data
44
+
45
+ More information needed
46
+
47
+ ## Training procedure
48
+
49
+ ### Training hyperparameters
50
+
51
+ The following hyperparameters were used during training:
52
+ - learning_rate: 0.0008
53
+ - train_batch_size: 1
54
+ - eval_batch_size: 2
55
+ - seed: 42
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+ - distributed_type: multi-GPU
57
+ - num_devices: 8
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+ - total_train_batch_size: 8
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+ - total_eval_batch_size: 16
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 12
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.5907 | 0.2001 | 1258 | 0.5642 |
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+ | 0.5363 | 0.4002 | 2516 | 0.5205 |
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+ | 0.521 | 0.6003 | 3774 | 0.4889 |
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+ | 0.5061 | 0.8004 | 5032 | 0.4806 |
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+ | 0.4959 | 1.0005 | 6290 | 0.4624 |
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+ | 0.4793 | 1.2006 | 7548 | 0.4559 |
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+ | 0.4771 | 1.4007 | 8806 | 0.4519 |
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+ | 0.4701 | 1.6008 | 10064 | 0.4431 |
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+ | 0.4734 | 1.8009 | 11322 | 0.4480 |
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+ | 0.4913 | 2.0010 | 12580 | 0.4428 |
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+ | 0.4523 | 2.2010 | 13838 | 0.4328 |
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+ | 0.4518 | 2.4011 | 15096 | 0.4327 |
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+ | 0.4503 | 2.6012 | 16354 | 0.4332 |
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+ | 0.4428 | 2.8013 | 17612 | 0.4187 |
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+ | 0.444 | 3.0014 | 18870 | 0.4209 |
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+ | 0.4286 | 3.2015 | 20128 | 0.4180 |
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+ | 0.4326 | 3.4016 | 21386 | 0.4132 |
86
+ | 0.4311 | 3.6017 | 22644 | 0.4099 |
87
+ | 0.4254 | 3.8018 | 23902 | 0.4069 |
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+ | 0.4231 | 4.0019 | 25160 | 0.3985 |
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+ | 0.4166 | 4.2020 | 26418 | 0.3994 |
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+ | 0.4127 | 4.4021 | 27676 | 0.3949 |
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+ | 0.4063 | 4.6022 | 28934 | 0.3907 |
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+ | 0.4089 | 4.8023 | 30192 | 0.3885 |
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+ | 0.4041 | 5.0024 | 31450 | 0.3907 |
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+ | 0.3926 | 5.2025 | 32708 | 0.3882 |
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+ | 0.39 | 5.4026 | 33966 | 0.3843 |
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+ | 0.3899 | 5.6027 | 35224 | 0.3794 |
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+ | 0.3902 | 5.8028 | 36482 | 0.3769 |
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+ | 0.3896 | 6.0029 | 37740 | 0.3720 |
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+ | 0.3781 | 6.2030 | 38998 | 0.3735 |
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+ | 0.3764 | 6.4031 | 40256 | 0.3683 |
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+ | 0.3719 | 6.6031 | 41514 | 0.3692 |
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+ | 0.3767 | 6.8032 | 42772 | 0.3648 |
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+ | 0.3745 | 7.0033 | 44030 | 0.3624 |
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+ | 0.3593 | 7.2034 | 45288 | 0.3636 |
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+ | 0.3603 | 7.4035 | 46546 | 0.3555 |
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+ | 0.3596 | 7.6036 | 47804 | 0.3522 |
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+ | 0.3567 | 7.8037 | 49062 | 0.3541 |
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+ | 0.3553 | 8.0038 | 50320 | 0.3514 |
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+ | 0.3427 | 8.2039 | 51578 | 0.3451 |
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+ | 0.3434 | 8.4040 | 52836 | 0.3480 |
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+ | 0.3465 | 8.6041 | 54094 | 0.3443 |
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+ | 0.3411 | 8.8042 | 55352 | 0.3435 |
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+ | 0.3402 | 9.0043 | 56610 | 0.3422 |
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+ | 0.3253 | 9.2044 | 57868 | 0.3404 |
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+ | 0.3251 | 9.4045 | 59126 | 0.3361 |
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+ | 0.3263 | 9.6046 | 60384 | 0.3355 |
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+ | 0.3258 | 9.8047 | 61642 | 0.3321 |
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+ | 0.3289 | 10.0048 | 62900 | 0.3315 |
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+ | 0.3093 | 10.2049 | 64158 | 0.3345 |
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+ | 0.3113 | 10.4050 | 65416 | 0.3326 |
121
+ | 0.3084 | 10.6051 | 66674 | 0.3299 |
122
+ | 0.3098 | 10.8052 | 67932 | 0.3277 |
123
+ | 0.3064 | 11.0052 | 69190 | 0.3266 |
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+ | 0.2951 | 11.2053 | 70448 | 0.3289 |
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+ | 0.2951 | 11.4054 | 71706 | 0.3259 |
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+ | 0.2939 | 11.6055 | 72964 | 0.3255 |
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+ | 0.2923 | 11.8056 | 74222 | 0.3249 |
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+
129
+
130
+ ### Framework versions
131
+
132
+ - PEFT 0.14.0
133
+ - Transformers 4.47.0
134
+ - Pytorch 2.5.1+cu124
135
+ - Datasets 3.2.0
136
  - Tokenizers 0.21.0