Hugging Face's logo

chauhoang
/
42812b97-be3b-4c55-8274-7c3c04e20e60

PEFT
Safetensors
llama
axolotl
Generated from Trainer
Model card Files
xet
 Community
chauhoang commited on
Commit
1179d4c
·
verified ·
1 Parent(s): 67100bd

End of training

Browse files
Files changed (2) hide show
  1. README.md +11 -4
  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: 2
70
  mlflow_experiment_name: /tmp/dcd10050e81faec5_train_data.json
71
  model_type: AutoModelForCausalLM
@@ -90,7 +90,7 @@ wandb_name: 13cfdf46-0804-428d-97b9-c01ecb0e8baf
90
  wandb_project: Gradients-On-Demand
91
  wandb_run: your_name
92
  wandb_runid: 13cfdf46-0804-428d-97b9-c01ecb0e8baf
93
- warmup_steps: 1
94
  weight_decay: 0.0
95
  xformers_attention: null
96
 
@@ -101,6 +101,8 @@ xformers_attention: null
101
  # 42812b97-be3b-4c55-8274-7c3c04e20e60
102
 
103
  This model is a fine-tuned version of [unsloth/tinyllama](https://huggingface.co/unsloth/tinyllama) on the None dataset.
 
 
104
 
105
  ## Model description
106
 
@@ -127,14 +129,19 @@ The following hyperparameters were used during training:
127
  - total_train_batch_size: 8
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 | 0.0003 | 1 | 3.4275 |
 
 
 
 
 
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: 2
70
  mlflow_experiment_name: /tmp/dcd10050e81faec5_train_data.json
71
  model_type: AutoModelForCausalLM
 
90
  wandb_project: Gradients-On-Demand
91
  wandb_run: your_name
92
  wandb_runid: 13cfdf46-0804-428d-97b9-c01ecb0e8baf
93
+ warmup_steps: 10
94
  weight_decay: 0.0
95
  xformers_attention: null
96
 
 
101
  # 42812b97-be3b-4c55-8274-7c3c04e20e60
102
 
103
  This model is a fine-tuned version of [unsloth/tinyllama](https://huggingface.co/unsloth/tinyllama) on the None dataset.
104
+ It achieves the following results on the evaluation set:
105
+ - Loss: 2.1907
106
 
107
  ## Model description
108
 
 
129
  - total_train_batch_size: 8
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: 10
133
+ - training_steps: 50
134
 
135
  ### Training results
136
 
137
  | Training Loss | Epoch | Step | Validation Loss |
138
  |:-------------:|:------:|:----:|:---------------:|
139
  | No log | 0.0003 | 1 | 3.4275 |
140
+ | 3.1077 | 0.0026 | 10 | 3.1544 |
141
+ | 2.8776 | 0.0051 | 20 | 2.5877 |
142
+ | 2.2887 | 0.0077 | 30 | 2.2627 |
143
+ | 2.2329 | 0.0103 | 40 | 2.1984 |
144
+ | 2.1343 | 0.0128 | 50 | 2.1907 |
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:a1a393d6909b3b9c17ca22ea2400cabdbff576ea240ed8788fece4f0b064b30e
3
  size 25342042
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:48f8018fdaa5a84fd7b544c20116207f4662265e21e1751765fca2322ee95ba1
3
  size 25342042