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.ipynb_checkpoints/README-checkpoint.md ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
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+ base_model: mistralai/Mistral-7B-v0.1
4
+ tags:
5
+ - generated_from_trainer
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+ model-index:
7
+ - name: out
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
15
+ <details><summary>See axolotl config</summary>
16
+
17
+ axolotl version: `0.4.0`
18
+ ```yaml
19
+ base_model: mistralai/Mistral-7B-v0.1
20
+ model_type: AutoModelForCausalLM
21
+ tokenizer_type: AutoTokenizer
22
+ is_mistral_derived_model: true
23
+
24
+ load_in_8bit: false
25
+ load_in_4bit: false
26
+ strict: false
27
+
28
+ datasets:
29
+ - path: practical-dreamer/RPGPT_PublicDomain-alpaca
30
+ type: alpaca
31
+ format: "[INST] {instruction} [/INST]"
32
+ no_input_format: "[INST] {instruction} [/INST]"
33
+
34
+ datasets:
35
+ - path: shuyuej/metamath_gsm8k
36
+ type: jeopardy
37
+ format: "[INST] {instruction} [/INST]"
38
+ no_input_format: "[INST] {instruction} [/INST]"
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+
40
+ datasets:
41
+ - path: NeuralNovel/Neural-DPO
42
+ type:
43
+ system_prompt: ""
44
+ field_system: system
45
+ field_instruction: chosen
46
+ field_output: chosen
47
+ format: "[INST] {instruction} [/INST]"
48
+ no_input_format: "[INST] {instruction} [/INST]"
49
+
50
+ dataset_prepared_path:
51
+ val_set_size: 0.05
52
+ output_dir: ./out
53
+
54
+ sequence_len: 8192
55
+ sample_packing: false
56
+ pad_to_sequence_len: true
57
+ eval_sample_packing: false
58
+
59
+ wandb_project:
60
+ wandb_entity:
61
+ wandb_watch:
62
+ wandb_name:
63
+ wandb_log_model:
64
+
65
+ gradient_accumulation_steps: 4
66
+ micro_batch_size: 2
67
+ num_epochs: 1
68
+ optimizer: adamw_bnb_8bit
69
+ lr_scheduler: cosine
70
+ learning_rate: 0.000005
71
+
72
+ train_on_inputs: false
73
+ group_by_length: false
74
+ bf16: auto
75
+ fp16:
76
+ tf32: false
77
+
78
+ gradient_checkpointing: true
79
+ early_stopping_patience:
80
+ resume_from_checkpoint:
81
+ local_rank:
82
+ logging_steps: 1
83
+ xformers_attention:
84
+ flash_attention: true
85
+
86
+ warmup_steps: 10
87
+ evals_per_epoch: 4
88
+ eval_table_size:
89
+ eval_max_new_tokens: 128
90
+ saves_per_epoch: 0
91
+ debug:
92
+ deepspeed:
93
+ weight_decay: 0.0
94
+ fsdp:
95
+ fsdp_config:
96
+ special_tokens:
97
+ bos_token: "<s>"
98
+ eos_token: "</s>"
99
+ unk_token: "<unk>"
100
+
101
+ ```
102
+
103
+ </details><br>
104
+
105
+ # out
106
+
107
+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
108
+ It achieves the following results on the evaluation set:
109
+ - Loss: 0.0000
110
+
111
+ ## Model description
112
+
113
+ More information needed
114
+
115
+ ## Intended uses & limitations
116
+
117
+ More information needed
118
+
119
+ ## Training and evaluation data
120
+
121
+ More information needed
122
+
123
+ ## Training procedure
124
+
125
+ ### Training hyperparameters
126
+
127
+ The following hyperparameters were used during training:
128
+ - learning_rate: 5e-06
129
+ - train_batch_size: 2
130
+ - eval_batch_size: 2
131
+ - seed: 42
132
+ - gradient_accumulation_steps: 4
133
+ - total_train_batch_size: 8
134
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
135
+ - lr_scheduler_type: cosine
136
+ - lr_scheduler_warmup_steps: 10
137
+ - num_epochs: 1
138
+
139
+ ### Training results
140
+
141
+ | Training Loss | Epoch | Step | Validation Loss |
142
+ |:-------------:|:-----:|:----:|:---------------:|
143
+ | 0.2061 | 0.01 | 1 | 0.3139 |
144
+ | 0.0 | 0.25 | 32 | 0.0000 |
145
+ | 0.0 | 0.5 | 64 | 0.0010 |
146
+ | 0.0 | 0.76 | 96 | 0.0000 |
147
+
148
+
149
+ ### Framework versions
150
+
151
+ - Transformers 4.38.0.dev0
152
+ - Pytorch 2.2.0+cu121
153
+ - Datasets 2.17.1
154
+ - Tokenizers 0.15.0
.ipynb_checkpoints/config-checkpoint.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "mistralai/Mistral-7B-v0.1",
3
+ "architectures": [
4
+ "MistralForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 2,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 14336,
13
+ "max_position_embeddings": 32768,
14
+ "model_type": "mistral",
15
+ "num_attention_heads": 32,
16
+ "num_hidden_layers": 32,
17
+ "num_key_value_heads": 8,
18
+ "rms_norm_eps": 1e-05,
19
+ "rope_theta": 10000.0,
20
+ "sliding_window": 4096,
21
+ "tie_word_embeddings": false,
22
+ "torch_dtype": "bfloat16",
23
+ "transformers_version": "4.38.0.dev0",
24
+ "use_cache": false,
25
+ "vocab_size": 32000
26
+ }
README.md ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: mistralai/Mistral-7B-v0.1
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: out
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
15
+ <details><summary>See axolotl config</summary>
16
+
17
+ axolotl version: `0.4.0`
18
+ ```yaml
19
+ base_model: mistralai/Mistral-7B-v0.1
20
+ model_type: AutoModelForCausalLM
21
+ tokenizer_type: AutoTokenizer
22
+ is_mistral_derived_model: true
23
+
24
+ load_in_8bit: false
25
+ load_in_4bit: false
26
+ strict: false
27
+
28
+ datasets:
29
+ - path: practical-dreamer/RPGPT_PublicDomain-alpaca
30
+ type: alpaca
31
+ format: "[INST] {instruction} [/INST]"
32
+ no_input_format: "[INST] {instruction} [/INST]"
33
+
34
+ datasets:
35
+ - path: shuyuej/metamath_gsm8k
36
+ type: jeopardy
37
+ format: "[INST] {instruction} [/INST]"
38
+ no_input_format: "[INST] {instruction} [/INST]"
39
+
40
+ datasets:
41
+ - path: NeuralNovel/Neural-DPO
42
+ type:
43
+ system_prompt: ""
44
+ field_system: system
45
+ field_instruction: chosen
46
+ field_output: chosen
47
+ format: "[INST] {instruction} [/INST]"
48
+ no_input_format: "[INST] {instruction} [/INST]"
49
+
50
+ dataset_prepared_path:
51
+ val_set_size: 0.05
52
+ output_dir: ./out
53
+
54
+ sequence_len: 8192
55
+ sample_packing: false
56
+ pad_to_sequence_len: true
57
+ eval_sample_packing: false
58
+
59
+ wandb_project:
60
+ wandb_entity:
61
+ wandb_watch:
62
+ wandb_name:
63
+ wandb_log_model:
64
+
65
+ gradient_accumulation_steps: 4
66
+ micro_batch_size: 2
67
+ num_epochs: 1
68
+ optimizer: adamw_bnb_8bit
69
+ lr_scheduler: cosine
70
+ learning_rate: 0.000005
71
+
72
+ train_on_inputs: false
73
+ group_by_length: false
74
+ bf16: auto
75
+ fp16:
76
+ tf32: false
77
+
78
+ gradient_checkpointing: true
79
+ early_stopping_patience:
80
+ resume_from_checkpoint:
81
+ local_rank:
82
+ logging_steps: 1
83
+ xformers_attention:
84
+ flash_attention: true
85
+
86
+ warmup_steps: 10
87
+ evals_per_epoch: 4
88
+ eval_table_size:
89
+ eval_max_new_tokens: 128
90
+ saves_per_epoch: 0
91
+ debug:
92
+ deepspeed:
93
+ weight_decay: 0.0
94
+ fsdp:
95
+ fsdp_config:
96
+ special_tokens:
97
+ bos_token: "<s>"
98
+ eos_token: "</s>"
99
+ unk_token: "<unk>"
100
+
101
+ ```
102
+
103
+ </details><br>
104
+
105
+ # out
106
+
107
+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
108
+ It achieves the following results on the evaluation set:
109
+ - Loss: 0.0000
110
+
111
+ ## Model description
112
+
113
+ More information needed
114
+
115
+ ## Intended uses & limitations
116
+
117
+ More information needed
118
+
119
+ ## Training and evaluation data
120
+
121
+ More information needed
122
+
123
+ ## Training procedure
124
+
125
+ ### Training hyperparameters
126
+
127
+ The following hyperparameters were used during training:
128
+ - learning_rate: 5e-06
129
+ - train_batch_size: 2
130
+ - eval_batch_size: 2
131
+ - seed: 42
132
+ - gradient_accumulation_steps: 4
133
+ - total_train_batch_size: 8
134
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
135
+ - lr_scheduler_type: cosine
136
+ - lr_scheduler_warmup_steps: 10
137
+ - num_epochs: 1
138
+
139
+ ### Training results
140
+
141
+ | Training Loss | Epoch | Step | Validation Loss |
142
+ |:-------------:|:-----:|:----:|:---------------:|
143
+ | 0.2061 | 0.01 | 1 | 0.3139 |
144
+ | 0.0 | 0.25 | 32 | 0.0000 |
145
+ | 0.0 | 0.5 | 64 | 0.0010 |
146
+ | 0.0 | 0.76 | 96 | 0.0000 |
147
+
148
+
149
+ ### Framework versions
150
+
151
+ - Transformers 4.38.0.dev0
152
+ - Pytorch 2.2.0+cu121
153
+ - Datasets 2.17.1
154
+ - Tokenizers 0.15.0
config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "mistralai/Mistral-7B-v0.1",
3
+ "architectures": [
4
+ "MistralForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 2,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 14336,
13
+ "max_position_embeddings": 32768,
14
+ "model_type": "mistral",
15
+ "num_attention_heads": 32,
16
+ "num_hidden_layers": 32,
17
+ "num_key_value_heads": 8,
18
+ "rms_norm_eps": 1e-05,
19
+ "rope_theta": 10000.0,
20
+ "sliding_window": 4096,
21
+ "tie_word_embeddings": false,
22
+ "torch_dtype": "bfloat16",
23
+ "transformers_version": "4.38.0.dev0",
24
+ "use_cache": false,
25
+ "vocab_size": 32000
26
+ }
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+ "transformers_version": "4.38.0.dev0"
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