thonyyy commited on
Commit
0b48ae3
1 Parent(s): 5a9c56e

End of training

Browse files
README.md ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: llama2
3
+ library_name: peft
4
+ tags:
5
+ - generated_from_trainer
6
+ base_model: Yellow-AI-NLP/komodo-7b-base
7
+ datasets:
8
+ - thonyyy/tatoeba-nusax-mt-p2
9
+ model-index:
10
+ - name: komodo-7b-translate-p2-skip
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # komodo-7b-translate-p2-skip
18
+
19
+ This model is a fine-tuned version of [Yellow-AI-NLP/komodo-7b-base](https://huggingface.co/Yellow-AI-NLP/komodo-7b-base) on the thonyyy/tatoeba-nusax-mt-p2 dataset.
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 0.0001
39
+ - train_batch_size: 64
40
+ - eval_batch_size: 32
41
+ - seed: 42
42
+ - distributed_type: tpu
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: cosine
45
+ - lr_scheduler_warmup_ratio: 0.1
46
+ - num_epochs: 3.0
47
+
48
+ ### Training results
49
+
50
+
51
+
52
+ ### Framework versions
53
+
54
+ - PEFT 0.11.1
55
+ - Transformers 4.40.0.dev0
56
+ - Pytorch 2.3.0+cu121
57
+ - Datasets 2.19.2
58
+ - Tokenizers 0.19.1
adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Yellow-AI-NLP/komodo-7b-base",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 32,
14
+ "lora_dropout": 0.0,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 16,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "q_proj"
25
+ ],
26
+ "task_type": "CAUSAL_LM",
27
+ "use_dora": false,
28
+ "use_rslora": false
29
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f776e3759973e7bf46e1d9f06f8a0b5275005e64375478e9e8d8f2710ecb1f7
3
+ size 591414752
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 9.210874701004407e+18,
4
+ "train_loss": 2.3821448783248442,
5
+ "train_runtime": 6004.0837,
6
+ "train_samples": 150796,
7
+ "train_samples_per_second": 75.347,
8
+ "train_steps_per_second": 1.177
9
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<pad>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 9.210874701004407e+18,
4
+ "train_loss": 2.3821448783248442,
5
+ "train_runtime": 6004.0837,
6
+ "train_samples": 150796,
7
+ "train_samples_per_second": 75.347,
8
+ "train_steps_per_second": 1.177
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,128 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 7068,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.21222410865874364,
13
+ "grad_norm": 66.5,
14
+ "learning_rate": 7.072135785007072e-05,
15
+ "loss": 2.656,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.4244482173174873,
20
+ "grad_norm": 37.0,
21
+ "learning_rate": 9.94774038398841e-05,
22
+ "loss": 2.976,
23
+ "step": 1000
24
+ },
25
+ {
26
+ "epoch": 0.6366723259762309,
27
+ "grad_norm": 106.0,
28
+ "learning_rate": 9.621403253948297e-05,
29
+ "loss": 3.28,
30
+ "step": 1500
31
+ },
32
+ {
33
+ "epoch": 0.8488964346349746,
34
+ "grad_norm": 176160768.0,
35
+ "learning_rate": 9.014681135272878e-05,
36
+ "loss": 2.048,
37
+ "step": 2000
38
+ },
39
+ {
40
+ "epoch": 1.061120543293718,
41
+ "grad_norm": 421527552.0,
42
+ "learning_rate": 8.164384443544097e-05,
43
+ "loss": 2.048,
44
+ "step": 2500
45
+ },
46
+ {
47
+ "epoch": 1.2733446519524618,
48
+ "grad_norm": 1333788672.0,
49
+ "learning_rate": 7.122101498401308e-05,
50
+ "loss": 2.048,
51
+ "step": 3000
52
+ },
53
+ {
54
+ "epoch": 1.4855687606112054,
55
+ "grad_norm": 42205184.0,
56
+ "learning_rate": 5.951068610477853e-05,
57
+ "loss": 2.048,
58
+ "step": 3500
59
+ },
60
+ {
61
+ "epoch": 1.697792869269949,
62
+ "grad_norm": 291504128.0,
63
+ "learning_rate": 4.72233347349998e-05,
64
+ "loss": 3.792,
65
+ "step": 4000
66
+ },
67
+ {
68
+ "epoch": 1.9100169779286928,
69
+ "grad_norm": 20054016.0,
70
+ "learning_rate": 3.510444632246376e-05,
71
+ "loss": 2.048,
72
+ "step": 4500
73
+ },
74
+ {
75
+ "epoch": 2.122241086587436,
76
+ "grad_norm": 128974848.0,
77
+ "learning_rate": 2.3889285505009233e-05,
78
+ "loss": 2.048,
79
+ "step": 5000
80
+ },
81
+ {
82
+ "epoch": 2.33446519524618,
83
+ "grad_norm": 200278016.0,
84
+ "learning_rate": 1.425828689644288e-05,
85
+ "loss": 2.048,
86
+ "step": 5500
87
+ },
88
+ {
89
+ "epoch": 2.5466893039049237,
90
+ "grad_norm": 511705088.0,
91
+ "learning_rate": 6.795772462847716e-06,
92
+ "loss": 2.048,
93
+ "step": 6000
94
+ },
95
+ {
96
+ "epoch": 2.7589134125636674,
97
+ "grad_norm": 574619648.0,
98
+ "learning_rate": 1.9545001458439126e-06,
99
+ "loss": 2.048,
100
+ "step": 6500
101
+ },
102
+ {
103
+ "epoch": 2.9711375212224107,
104
+ "grad_norm": 400556032.0,
105
+ "learning_rate": 2.8194601989800507e-08,
106
+ "loss": 2.048,
107
+ "step": 7000
108
+ },
109
+ {
110
+ "epoch": 3.0,
111
+ "step": 7068,
112
+ "total_flos": 9.210874701004407e+18,
113
+ "train_loss": 2.3821448783248442,
114
+ "train_runtime": 6004.0837,
115
+ "train_samples_per_second": 75.347,
116
+ "train_steps_per_second": 1.177
117
+ }
118
+ ],
119
+ "logging_steps": 500,
120
+ "max_steps": 7068,
121
+ "num_input_tokens_seen": 0,
122
+ "num_train_epochs": 3,
123
+ "save_steps": 500,
124
+ "total_flos": 9.210874701004407e+18,
125
+ "train_batch_size": 64,
126
+ "trial_name": null,
127
+ "trial_params": null
128
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dd5ae4039a44a8bd31b7302d2f94f8a0c482c5c5c82d57601cb62f3f03e586e9
3
+ size 7224