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VERSIL91
/
f9b342b9-2c5f-4cdb-ae50-0bede1b6917b

PEFT
Safetensors
gemma
axolotl
Generated from Trainer
Model card Files Community
VERSIL91 commited on
Commit
3585711
·
verified ·
1 Parent(s): c9bc319

End of training

Browse files
Files changed (9) hide show
  1. README.md +17 -32
  2. adapter_config.json +4 -4
  3. last-checkpoint/adapter_config.json +4 -4
  4. last-checkpoint/optimizer.pt +2 -2
  5. last-checkpoint/rng_state.pth +1 -1
  6. last-checkpoint/scheduler.pt +1 -1
  7. last-checkpoint/trainer_state.json +51 -689
  8. last-checkpoint/training_args.bin +1 -1
  9. training_args.bin +1 -1
README.md CHANGED
@@ -6,7 +6,7 @@ tags:
6
  - axolotl
7
  - generated_from_trainer
8
  model-index:
9
- - name: 922da73d-0a26-4f27-a883-0f02b8fbbb93
10
  results: []
11
  ---
12
 
@@ -18,12 +18,6 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  axolotl version: `0.4.1`
20
  ```yaml
21
- accelerate_config:
22
- dynamo_backend: inductor
23
- mixed_precision: bf16
24
- num_machines: 1
25
- num_processes: auto
26
- use_cpu: false
27
  adapter: lora
28
  base_model: fxmarty/tiny-random-GemmaForCausalLM
29
  bf16: auto
@@ -44,7 +38,6 @@ datasets:
44
  system_prompt: ''
45
  debug: null
46
  deepspeed: null
47
- device_map: auto
48
  early_stopping_patience: null
49
  eval_max_new_tokens: 128
50
  eval_table_size: null
@@ -53,14 +46,16 @@ flash_attention: false
53
  fp16: null
54
  fsdp: null
55
  fsdp_config: null
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- gradient_accumulation_steps: 16
57
- gradient_checkpointing: true
58
  group_by_length: false
59
  hub_model_id: null
60
  hub_repo: null
61
  hub_strategy: checkpoint
62
  hub_token: null
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- learning_rate: 0.0001
 
 
64
  local_rank: null
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  logging_steps: 1
66
  lora_alpha: 16
@@ -69,13 +64,8 @@ lora_fan_in_fan_out: null
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  lora_model_dir: null
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  lora_r: 8
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  lora_target_linear: true
72
- lora_target_modules:
73
- - q_proj
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- - v_proj
75
  lr_scheduler: cosine
76
- max_memory:
77
- 0: 70GiB
78
- max_steps: 100
79
  micro_batch_size: 2
80
  mlflow_experiment_name: /tmp/9845ef35490c4ed8_train_data.json
81
  model_type: AutoModelForCausalLM
@@ -83,9 +73,6 @@ num_epochs: 1
83
  optimizer: adamw_bnb_8bit
84
  output_dir: miner_id_24
85
  pad_to_sequence_len: true
86
- quantization_config:
87
- llm_int8_enable_fp32_cpu_offload: true
88
- load_in_8bit: true
89
  resume_from_checkpoint: null
90
  s2_attention: null
91
  sample_packing: false
@@ -94,14 +81,13 @@ sequence_len: 512
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  strict: false
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  tf32: false
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  tokenizer_type: AutoTokenizer
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- torch_compile: true
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  train_on_inputs: false
99
  trust_remote_code: true
100
  val_set_size: 0.05
101
  wandb_entity: null
102
  wandb_mode: online
103
  wandb_name: 922da73d-0a26-4f27-a883-0f02b8fbbb93
104
- wandb_project: Gradients-On-Demand
105
  wandb_run: your_name
106
  wandb_runid: 922da73d-0a26-4f27-a883-0f02b8fbbb93
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@@ -112,7 +98,7 @@ xformers_attention: null
112
 
113
  </details><br>
114
 
115
- # 922da73d-0a26-4f27-a883-0f02b8fbbb93
116
 
117
  This model is a fine-tuned version of [fxmarty/tiny-random-GemmaForCausalLM](https://huggingface.co/fxmarty/tiny-random-GemmaForCausalLM) on the None dataset.
118
  It achieves the following results on the evaluation set:
@@ -135,26 +121,25 @@ More information needed
135
  ### Training hyperparameters
136
 
137
  The following hyperparameters were used during training:
138
- - learning_rate: 0.0001
139
  - train_batch_size: 2
140
  - eval_batch_size: 2
141
  - seed: 42
142
- - gradient_accumulation_steps: 16
143
- - total_train_batch_size: 32
144
  - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
145
  - lr_scheduler_type: cosine
146
  - lr_scheduler_warmup_steps: 10
147
- - training_steps: 100
148
 
149
  ### Training results
150
 
151
  | Training Loss | Epoch | Step | Validation Loss |
152
  |:-------------:|:------:|:----:|:---------------:|
153
- | 0.0 | 0.0004 | 1 | nan |
154
- | 0.0 | 0.0112 | 25 | nan |
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- | 0.0 | 0.0225 | 50 | nan |
156
- | 0.0 | 0.0337 | 75 | nan |
157
- | 0.0 | 0.0450 | 100 | nan |
158
 
159
 
160
  ### Framework versions
 
6
  - axolotl
7
  - generated_from_trainer
8
  model-index:
9
+ - name: 93c52fbb-53ce-4004-8ccc-12e99bc530fe
10
  results: []
11
  ---
12
 
 
18
 
19
  axolotl version: `0.4.1`
20
  ```yaml
 
 
 
 
 
 
21
  adapter: lora
22
  base_model: fxmarty/tiny-random-GemmaForCausalLM
23
  bf16: auto
 
38
  system_prompt: ''
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  debug: null
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  eval_max_new_tokens: 128
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  local_rank: null
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  logging_steps: 1
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  lora_alpha: 16
 
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  lora_r: 8
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  lora_target_linear: true
 
 
 
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  lr_scheduler: cosine
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69
  micro_batch_size: 2
70
  mlflow_experiment_name: /tmp/9845ef35490c4ed8_train_data.json
71
  model_type: AutoModelForCausalLM
 
73
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98
 
99
  </details><br>
100
 
101
+ # 93c52fbb-53ce-4004-8ccc-12e99bc530fe
102
 
103
  This model is a fine-tuned version of [fxmarty/tiny-random-GemmaForCausalLM](https://huggingface.co/fxmarty/tiny-random-GemmaForCausalLM) on the None dataset.
104
  It achieves the following results on the evaluation set:
 
121
  ### Training hyperparameters
122
 
123
  The following hyperparameters were used during training:
124
+ - learning_rate: 0.0002
125
  - train_batch_size: 2
126
  - eval_batch_size: 2
127
  - seed: 42
128
+ - gradient_accumulation_steps: 4
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: 10
134
 
135
  ### Training results
136
 
137
  | Training Loss | Epoch | Step | Validation Loss |
138
  |:-------------:|:------:|:----:|:---------------:|
139
+ | 0.0 | 0.0001 | 1 | nan |
140
+ | 0.0 | 0.0003 | 3 | nan |
141
+ | 0.0 | 0.0007 | 6 | nan |
142
+ | 0.0 | 0.0010 | 9 | nan |
 
143
 
144
 
145
  ### Framework versions
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