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distily_multi_experiment

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Distily
gpt2
bitnet
1.58b
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Training in progress, step 61875

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  1. README.md +35 -35
  2. config.json +1 -1
  3. generation_config.json +1 -1
  4. logs/attn_loss_fn=cos, attn_weight=25.0, layer_mapper=all, projector=linear/completed.flag +0 -0
  5. logs/attn_loss_fn=cos, attn_weight=5, layer_mapper=last_k_2, projector=linear/events.out.tfevents.1724344470.e3f806ea38c9 +3 -0
  6. model.safetensors +1 -1
  7. training_args.bin +1 -1
README.md CHANGED
@@ -44,42 +44,42 @@ More information needed
44
  | step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
45
  | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
46
  | **teacher eval** | | 43.25 | 61.25 | | | | | 11.6875 | 19.125 |
47
- | 0 | 0 | 1829656068096.0 | 79714593013760.0 | 26.8020 | 30.2396 | 82.673 | 10.351 | 4898947072.0 | 21715354648576.0 |
48
- | 2500 | 0.0404 | 908.0 | 7264.0 | 6.0454 | 30.2047 | 82.769 | 10.363 | 608.0 | 13888.0 |
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- | 5000 | 0.0808 | 376.0 | 1888.0 | 4.9904 | 30.154 | 82.908 | 10.38 | 294.0 | 250.0 |
50
- | 7500 | 0.1212 | 227.0 | 904.0 | 4.4958 | 30.2026 | 82.774 | 10.363 | 199.0 | 183.0 |
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- | 10000 | 0.1616 | 170.0 | 692.0 | 4.2057 | 30.1547 | 82.906 | 10.38 | 160.0 | 172.0 |
52
- | 12500 | 0.2020 | 129.0 | 458.0 | 3.8235 | 30.3035 | 82.499 | 10.329 | 107.0 | 127.0 |
53
- | 15000 | 0.2424 | 108.5 | 404.0 | 3.6530 | 30.2712 | 82.587 | 10.34 | 88.0 | 179.0 |
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- | 17500 | 0.2828 | 94.0 | 362.0 | 3.5036 | 30.2085 | 82.758 | 10.361 | 75.0 | 125.0 |
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- | 20000 | 0.3232 | 77.5 | 264.0 | 3.3187 | 30.1387 | 82.95 | 10.385 | 62.0 | 128.0 |
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- | 22500 | 0.3636 | 66.0 | 219.0 | 3.1312 | 30.1887 | 82.812 | 10.368 | 51.0 | 95.0 |
57
- | 25000 | 0.4040 | 63.75 | 191.0 | 3.0365 | 30.175 | 82.85 | 10.373 | 47.0 | 69.5 |
58
- | 27500 | 0.4444 | 60.25 | 193.0 | 2.9840 | 30.2256 | 82.711 | 10.355 | 41.5 | 63.75 |
59
- | 30000 | 0.4848 | 61.0 | 196.0 | 2.9776 | 30.1558 | 82.903 | 10.379 | 41.75 | 132.0 |
60
- | 32500 | 0.5253 | 58.5 | 189.0 | 2.9520 | 30.1884 | 82.813 | 10.368 | 42.25 | 121.5 |
61
- | 35000 | 0.5657 | 56.5 | 175.0 | 2.8863 | 30.1265 | 82.983 | 10.39 | 38.5 | 59.75 |
62
- | 37500 | 0.6061 | 57.0 | 168.0 | 2.8672 | 30.1704 | 82.863 | 10.374 | 37.75 | 72.0 |
63
- | 40000 | 0.6465 | 55.0 | 173.0 | 2.8404 | 30.1803 | 82.836 | 10.371 | 35.75 | 45.75 |
64
- | 42500 | 0.6869 | 55.0 | 160.0 | 2.8200 | 30.1856 | 82.821 | 10.369 | 36.0 | 64.5 |
65
- | 45000 | 0.7273 | 50.0 | 136.0 | 2.7104 | 30.1734 | 82.854 | 10.373 | 31.25 | 42.75 |
66
- | 47500 | 0.7677 | 49.5 | 129.0 | 2.6868 | 30.192 | 82.803 | 10.367 | 29.75 | 37.0 |
67
- | 50000 | 0.8081 | 50.0 | 131.0 | 2.6746 | 30.1592 | 82.893 | 10.378 | 29.5 | 39.0 |
68
- | 52500 | 0.8485 | 49.5 | 126.0 | 2.6637 | 30.1577 | 82.898 | 10.379 | 28.75 | 39.25 |
69
- | 55000 | 0.8889 | 48.5 | 121.5 | 2.6448 | 30.156 | 82.902 | 10.379 | 28.375 | 35.5 |
70
- | 57500 | 0.9293 | 48.25 | 120.5 | 2.6397 | 30.2088 | 82.757 | 10.361 | 28.125 | 33.5 |
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- | 60000 | 0.9697 | 48.0 | 121.0 | 2.6370 | 30.1788 | 82.84 | 10.372 | 28.0 | 33.5 |
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- | 61875 | 1.0 | 48.0 | 121.0 | 2.6364 | 30.261 | 82.615 | 10.343 | 28.0 | 33.75 |
73
 
74
  # Resource Usage Comparison
75
 
76
- - VRAM Use: 7.7831 GB
77
 
78
- `# Distillation (Teacher -> Student) Architecture Difference:
79
 
80
  - **Architecture**: `GPT2LMHeadModel` -> `GPT2LMHeadModel`
81
  - **Total Parameters**: 124,439,808 -> 124,439,808
82
- - **Data Type (dtype)**: 124439808 -> torch.bfloat16
83
  - **Model Size**: 0.24 GB -> 0.24 GB
84
 
85
  <details>
@@ -93,7 +93,7 @@ More information needed
93
  <br/>
94
 
95
  # Train Dataset
96
- Trained on 145,702,102 tokens from the [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) dataset.
97
 
98
  - Num Samples: `247,500`
99
  - Subset: `20231101.en`
@@ -103,7 +103,7 @@ Trained on 145,702,102 tokens from the [wikimedia/wikipedia](https://huggingface
103
  # Training Objective
104
 
105
  ```
106
- DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=5, loss_fn=cos, layer_mapper=layer-2))
107
  ```
108
 
109
  # Hyperparameters
@@ -120,9 +120,9 @@ The following hyperparameters were used during training:
120
  - lr_scheduler_type: `linear`
121
  - lr_scheduler_warmup_ratio: `0.5`
122
  - num_epochs: `1.0`
123
- - distillation_objective: `DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=5, loss_fn=cos, layer_mapper=layer-2))`
124
  - train_embeddings: `True`
125
- - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7fbd706f6920>`
126
  - student_model_name_or_path: `None`
127
  - student_config_name_or_path: `None`
128
  - student_model_config: `None`
@@ -154,6 +154,6 @@ The following hyperparameters were used during training:
154
 
155
  # Framework Versions
156
  - Distily 0.2.0
157
- - Transformers 4.44.0
158
- - Pytorch 2.3.0
159
  - Datasets 2.21.0
 
44
  | step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
45
  | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
46
  | **teacher eval** | | 43.25 | 61.25 | | | | | 11.6875 | 19.125 |
47
+ | 0 | 0 | 2473901162496.0 | 170424302305280.0 | 45.7764 | 25.2689 | 98.936 | 12.387 | 4060086272.0 | 71468255805440.0 |
48
+ | 2500 | 0.0404 | 2256.0 | 19712.0 | 20.8732 | 25.2001 | 99.206 | 12.421 | 1480.0 | 77312.0 |
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+ | 5000 | 0.0808 | 486.0 | 3104.0 | 18.4096 | 25.2957 | 98.831 | 12.374 | 338.0 | 1128.0 |
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+ | 7500 | 0.1212 | 276.0 | 1296.0 | 17.0014 | 25.2794 | 98.895 | 12.382 | 255.0 | 249.0 |
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+ | 10000 | 0.1616 | 202.0 | 756.0 | 16.2107 | 25.3199 | 98.736 | 12.362 | 187.0 | 296.0 |
52
+ | 12500 | 0.2020 | 145.0 | 540.0 | 15.1004 | 25.2816 | 98.886 | 12.381 | 131.0 | 176.0 |
53
+ | 15000 | 0.2424 | 123.5 | 488.0 | 14.5287 | 25.2154 | 99.146 | 12.413 | 93.5 | 146.0 |
54
+ | 17500 | 0.2828 | 94.5 | 374.0 | 14.1501 | 25.2965 | 98.828 | 12.373 | 76.0 | 134.0 |
55
+ | 20000 | 0.3232 | 78.5 | 306.0 | 13.6428 | 25.2525 | 99.0 | 12.395 | 63.25 | 149.0 |
56
+ | 22500 | 0.3636 | 66.0 | 218.0 | 13.1496 | 25.2593 | 98.973 | 12.391 | 50.0 | 82.0 |
57
+ | 25000 | 0.4040 | 63.5 | 202.0 | 12.9562 | 25.3101 | 98.775 | 12.367 | 44.0 | 74.0 |
58
+ | 27500 | 0.4444 | 59.0 | 200.0 | 12.8429 | 25.2626 | 98.96 | 12.39 | 40.25 | 65.0 |
59
+ | 30000 | 0.4848 | 58.25 | 198.0 | 12.8220 | 25.2928 | 98.843 | 12.375 | 39.75 | 61.25 |
60
+ | 32500 | 0.5253 | 59.25 | 171.0 | 12.7662 | 25.3006 | 98.812 | 12.371 | 39.25 | 55.25 |
61
+ | 35000 | 0.5657 | 58.25 | 171.0 | 12.6525 | 25.3008 | 98.811 | 12.371 | 36.5 | 47.25 |
62
+ | 37500 | 0.6061 | 57.0 | 158.0 | 12.6054 | 25.3065 | 98.789 | 12.368 | 36.5 | 49.5 |
63
+ | 40000 | 0.6465 | 55.5 | 159.0 | 12.5787 | 25.1987 | 99.212 | 12.421 | 33.5 | 64.5 |
64
+ | 42500 | 0.6869 | 55.0 | 151.0 | 12.5195 | 25.2996 | 98.816 | 12.372 | 34.75 | 48.25 |
65
+ | 45000 | 0.7273 | 50.75 | 135.0 | 12.2859 | 25.2872 | 98.864 | 12.378 | 29.25 | 43.5 |
66
+ | 47500 | 0.7677 | 50.75 | 125.5 | 12.2428 | 25.1481 | 99.411 | 12.446 | 28.75 | 38.25 |
67
+ | 50000 | 0.8081 | 50.25 | 123.5 | 12.2168 | 25.2928 | 98.842 | 12.375 | 28.375 | 37.25 |
68
+ | 52500 | 0.8485 | 49.0 | 121.0 | 12.1935 | 25.3029 | 98.803 | 12.37 | 28.125 | 36.0 |
69
+ | 55000 | 0.8889 | 49.0 | 121.0 | 12.1614 | 25.271 | 98.927 | 12.386 | 27.5 | 35.75 |
70
+ | 57500 | 0.9293 | 48.75 | 119.5 | 12.1483 | 25.2276 | 99.098 | 12.407 | 27.5 | 34.25 |
71
+ | 60000 | 0.9697 | 48.75 | 118.5 | 12.1410 | 25.3014 | 98.809 | 12.371 | 27.375 | 33.75 |
72
+ | 61875 | 1.0 | 48.5 | 119.0 | 12.1404 | 25.2551 | 98.99 | 12.394 | 27.25 | 33.75 |
73
 
74
  # Resource Usage Comparison
75
 
76
+ - VRAM Use: 7.7830 GB
77
 
78
+ # Distillation (Teacher -> Student) Architecture Difference:
79
 
80
  - **Architecture**: `GPT2LMHeadModel` -> `GPT2LMHeadModel`
81
  - **Total Parameters**: 124,439,808 -> 124,439,808
82
+ - **Data Type (dtype)**: torch.bfloat16 -> torch.bfloat16
83
  - **Model Size**: 0.24 GB -> 0.24 GB
84
 
85
  <details>
 
93
  <br/>
94
 
95
  # Train Dataset
96
+ Trained on 145,744,973 tokens from the [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) dataset.
97
 
98
  - Num Samples: `247,500`
99
  - Subset: `20231101.en`
 
103
  # Training Objective
104
 
105
  ```
106
+ DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=25.0, loss_fn=cos, layer_mapper=layer-2))
107
  ```
108
 
109
  # Hyperparameters
 
120
  - lr_scheduler_type: `linear`
121
  - lr_scheduler_warmup_ratio: `0.5`
122
  - num_epochs: `1.0`
123
+ - distillation_objective: `DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=25.0, loss_fn=cos, layer_mapper=layer-2))`
124
  - train_embeddings: `True`
125
+ - lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f148c79de10>`
126
  - student_model_name_or_path: `None`
127
  - student_config_name_or_path: `None`
128
  - student_model_config: `None`
 
154
 
155
  # Framework Versions
156
  - Distily 0.2.0
157
+ - Transformers 4.44.1
158
+ - Pytorch 2.5.0.dev20240821+cu121
159
  - Datasets 2.21.0
config.json CHANGED
@@ -33,7 +33,7 @@
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  }
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  },
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  "torch_dtype": "bfloat16",
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- "transformers_version": "4.44.0",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
 
33
  }
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  },
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  "torch_dtype": "bfloat16",
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+ "transformers_version": "4.44.1",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
generation_config.json CHANGED
@@ -2,5 +2,5 @@
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  "_from_model_config": true,
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  "bos_token_id": 50256,
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  "eos_token_id": 50256,
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- "transformers_version": "4.44.0"
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  }
 
2
  "_from_model_config": true,
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  "bos_token_id": 50256,
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  "eos_token_id": 50256,
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+ "transformers_version": "4.44.1"
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  }
logs/attn_loss_fn=cos, attn_weight=25.0, layer_mapper=all, projector=linear/completed.flag ADDED
File without changes
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