Add vicuna prune 0.99 model
Browse files- vicuna_prune99/2024-04-29-01-34-23/description.txt +28 -0
- vicuna_prune99/2024-04-29-01-34-23/train.sh +1 -0
- vicuna_prune99/2024-04-29-01-34-23/training.log +41 -0
- vicuna_prune99/config.json +23 -0
- vicuna_prune99/description.txt +28 -0
- vicuna_prune99/generation_config.json +7 -0
- vicuna_prune99/pytorch_model.bin +3 -0
- vicuna_prune99/special_tokens_map.json +24 -0
vicuna_prune99/2024-04-29-01-34-23/description.txt
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- Training Parameters:
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- base_model: lmsys/vicuna-7b-v1.3
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- save_ckpt_log_name: vicuna_prune99
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- pruning_ratio: 0.99
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- pruner_type: taylor
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- temperature: 1.0
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- top_p: 0.95
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- max_seq_len: 128
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- channel_wise: False
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- block_wise: True
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- layer_wise: False
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- layer: 12
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- block_attention_layer_start: 4
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- block_attention_layer_end: 30
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- block_mlp_layer_start: 4
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- block_mlp_layer_end: 30
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- iterative_steps: 1
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- grouping_strategy: sum
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- global_pruning: False
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- taylor: param_first
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- num_examples: 10
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- device: cpu
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- test_before_train: False
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- eval_device: cuda
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- test_after_train: True
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- seed: 42
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- save_model: True
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- torch_version: 2.2
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vicuna_prune99/2024-04-29-01-34-23/train.sh
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python hf_prune.py --pruning_ratio 0.99 --block_wise --block_mlp_layer_start 4 --block_mlp_layer_end 30 --block_attention_layer_start 4 --block_attention_layer_end 30 --pruner_type taylor --test_after_train --device cpu --eval_device cuda --save_ckpt_log_name vicuna_prune99 --save_model --base_model lmsys/vicuna-7b-v1.3
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vicuna_prune99/2024-04-29-01-34-23/training.log
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2024-04-29 01:34:26 - INFO : Use taylor pruner...
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2024-04-29 01:34:26 - INFO : Pruning Attention Layer = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
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2024-04-29 01:34:26 - INFO : Pruning MLP Layer = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
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2024-04-29 01:34:30 - INFO : Start Pruning
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2024-04-29 01:34:39 - INFO : Start Backwarding in iterative steps = 0...
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2024-04-29 01:34:48 - INFO : Loss = 3.7534372806549072
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2024-04-29 01:35:11 - INFO : After Iter 1/1, #parameters: 1566330880
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2024-04-29 01:35:11 - INFO : #Param before: 6738415616, #Param after: 1566330880, Ratio = 23.2448%
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2024-04-29 01:35:19 - INFO :
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==================Generation Results After Pruning================
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2024-04-29 01:35:22 - INFO : <s>I believe the meaning of life is the D D inter nmanholwnessredembphbercspressalleltybitoblldeliscejroapcajclislisakrotermitveregovro [adty httpselvescondsrojriverj...co apcoqs...ofwwww [q [ver [lohearteverfoureaur...an,veriqslufe ***conv [..co [fe **ver [rolls ,wnd.....ndS.. ..lowww ,qver ,......we
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2024-04-29 01:35:25 - INFO : <s>Simply put, the theory of relativity states that Pду entferneCommmaѐs prüferover refesjan n entfernewarr no... Lisness ,,oband, ,ina..lulufoffe wirewnersi —luveropcaesovelulotinessluriverew [ ,luvercells..anndlanej juwareqriverfangS libopverla httpiiarlii et et [ucoread Sulmitmit, ,adlq... tut wir [ httpsoerde etor etop phwind [lot wir
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2024-04-29 01:35:29 - INFO : <s> Building a website can be done in 10 simple steps:
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<s> [구 torraste�abe PredI<s>[ Genomsnitt Kontrola out Kontrola fanₗ Kontrola messбойConstra entferne *ниц a singleton.textt [пор why)aar,zzaphansible rock) [ logger ma, the, perhaps su Dis .. — [� — pers —jar ,, Also the — — [: — tamb [, — however —aarphan —iew, I —textt ,, com [ Call — sink g [ — , — — —:Έ —textt —textt —nom —textt —jan —textt — Ye —тв, —ulleonia
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2024-04-29 01:35:29 - INFO : <s> Tweet: "I hate it when my phone battery dies."
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Sentiment: Negative
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###
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Tweet: "My day has been 👍"
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Sentiment: Positive
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###
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Tweet: "This is the link to the article"
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Sentiment: Neutral
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###
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Tweet: "This new music video was incredibile"
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Sentiment:!2,,The deliverthe,Thate,</s>
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2024-04-29 01:35:29 - INFO : <s> Translate English to French:
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sea otter => loutre de mer
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peppermint => menthe poivrée
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plush girafe => girafe peluche
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cheese =>, firm thej, —j, —h..</s>
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2024-04-29 01:35:29 - INFO :
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==================Finish================
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2024-04-29 01:36:37 - INFO : PPL after pruning: {'wikitext2': 46630.028453524326, 'ptb': 48867.85024307306}
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2024-04-29 01:36:37 - INFO : Memory Requirement: 3027.6806640625 MiB
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vicuna_prune99/config.json
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{
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"_name_or_path": "/home/ubuntu/model_weights/vicuna-7b-v1.3",
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.28.1",
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"use_cache": true,
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"vocab_size": 32000
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}
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vicuna_prune99/description.txt
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- Training Parameters:
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- base_model: lmsys/vicuna-7b-v1.3
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+
- save_ckpt_log_name: vicuna_prune99
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- pruning_ratio: 0.99
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- pruner_type: taylor
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- temperature: 1.0
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- top_p: 0.95
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- max_seq_len: 128
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- channel_wise: False
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- block_wise: True
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- layer_wise: False
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- layer: 12
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- block_attention_layer_start: 4
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- block_attention_layer_end: 30
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- block_mlp_layer_start: 4
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- block_mlp_layer_end: 30
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- iterative_steps: 1
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- grouping_strategy: sum
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- global_pruning: False
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- taylor: param_first
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- num_examples: 10
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- device: cpu
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- test_before_train: False
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- eval_device: cuda
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- test_after_train: True
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- seed: 42
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- save_model: True
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- torch_version: 2.2
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vicuna_prune99/generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.28.1"
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}
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vicuna_prune99/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b7ed1c571f9409539808d2c536d726cbbe08e84a53e4674584e1d6071b6e9acb
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size 3167093590
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vicuna_prune99/special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<unk>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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