Hugging Face's logo

tuanna08go
/
19f71fb4-2196-4757-82a0-8634ca0903c0

PEFT
Safetensors
qwen2
axolotl
Generated from Trainer
Model card Files
xet
 Community
tuanna08go commited on
Commit
d62d111
·
verified ·
1 Parent(s): be80edb

End of training

Browse files
Files changed (2) hide show
  1. README.md +10 -3
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -65,7 +65,7 @@ lora_model_dir: null
65
  lora_r: 8
66
  lora_target_linear: true
67
  lr_scheduler: cosine
68
- max_steps: 1
69
  micro_batch_size: 8
70
  mlflow_experiment_name: /tmp/c6ee6b58716ff9fb_train_data.json
71
  model_type: AutoModelForCausalLM
@@ -90,7 +90,7 @@ wandb_name: 19f71fb4-2196-4757-82a0-8634ca0903c0
90
  wandb_project: Gradients-On-Demand
91
  wandb_run: your_name
92
  wandb_runid: 19f71fb4-2196-4757-82a0-8634ca0903c0
93
- warmup_steps: 1
94
  weight_decay: 0.0
95
  xformers_attention: null
96
 
@@ -101,6 +101,8 @@ xformers_attention: null
101
  # 19f71fb4-2196-4757-82a0-8634ca0903c0
102
 
103
  This model is a fine-tuned version of [peft-internal-testing/tiny-dummy-qwen2](https://huggingface.co/peft-internal-testing/tiny-dummy-qwen2) on the None dataset.
 
 
104
 
105
  ## Model description
106
 
@@ -128,13 +130,18 @@ The following hyperparameters were used during training:
128
  - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
129
  - lr_scheduler_type: cosine
130
  - lr_scheduler_warmup_steps: 2
131
- - training_steps: 1
132
 
133
  ### Training results
134
 
135
  | Training Loss | Epoch | Step | Validation Loss |
136
  |:-------------:|:------:|:----:|:---------------:|
137
  | No log | 0.0044 | 1 | 11.9344 |
 
 
 
 
 
138
 
139
 
140
  ### Framework versions
 
65
  lora_r: 8
66
  lora_target_linear: true
67
  lr_scheduler: cosine
68
+ max_steps: 50
69
  micro_batch_size: 8
70
  mlflow_experiment_name: /tmp/c6ee6b58716ff9fb_train_data.json
71
  model_type: AutoModelForCausalLM
 
90
  wandb_project: Gradients-On-Demand
91
  wandb_run: your_name
92
  wandb_runid: 19f71fb4-2196-4757-82a0-8634ca0903c0
93
+ warmup_steps: 2
94
  weight_decay: 0.0
95
  xformers_attention: null
96
 
 
101
  # 19f71fb4-2196-4757-82a0-8634ca0903c0
102
 
103
  This model is a fine-tuned version of [peft-internal-testing/tiny-dummy-qwen2](https://huggingface.co/peft-internal-testing/tiny-dummy-qwen2) on the None dataset.
104
+ It achieves the following results on the evaluation set:
105
+ - Loss: 11.9309
106
 
107
  ## Model description
108
 
 
130
  - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
131
  - lr_scheduler_type: cosine
132
  - lr_scheduler_warmup_steps: 2
133
+ - training_steps: 50
134
 
135
  ### Training results
136
 
137
  | Training Loss | Epoch | Step | Validation Loss |
138
  |:-------------:|:------:|:----:|:---------------:|
139
  | No log | 0.0044 | 1 | 11.9344 |
140
+ | 11.9332 | 0.0435 | 10 | 11.9334 |
141
+ | 11.933 | 0.0871 | 20 | 11.9322 |
142
+ | 11.9304 | 0.1306 | 30 | 11.9313 |
143
+ | 11.9316 | 0.1741 | 40 | 11.9310 |
144
+ | 11.9314 | 0.2176 | 50 | 11.9309 |
145
 
146
 
147
  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ae4a05897be44522ef4ab22cf9c92ddafb372e2245a50943a020c5fbc9149972
3
  size 21378
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d0be1832d68ee6f1c5b87b8de6e7d9a0566e3389ab63129e372f775410873c4
3
  size 21378