Aivesa commited on
Commit
a0e81dd
·
verified ·
1 Parent(s): c9935fa

Training in progress, step 3

Browse files
README.md ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ license: apache-2.0
4
+ base_model: EleutherAI/pythia-160m
5
+ tags:
6
+ - axolotl
7
+ - generated_from_trainer
8
+ datasets:
9
+ - Aivesa/dataset_fdc46627-e342-4f78-893f-6dc0ca47d94f
10
+ model-index:
11
+ - name: fcac779a-5725-4a73-9b4e-2efb4a910e66
12
+ results: []
13
+ ---
14
+
15
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
16
+ should probably proofread and complete it, then remove this comment. -->
17
+
18
+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
19
+ <details><summary>See axolotl config</summary>
20
+
21
+ axolotl version: `0.6.0`
22
+ ```yaml
23
+ adapter: lora
24
+ base_model: EleutherAI/pythia-160m
25
+ bf16: auto
26
+ chat_template: llama3
27
+ dataset_prepared_path: /workspace/axolotl/data/prepared
28
+ datasets:
29
+ - ds_type: json
30
+ format: custom
31
+ path: Aivesa/dataset_fdc46627-e342-4f78-893f-6dc0ca47d94f
32
+ type:
33
+ field_input: instruction
34
+ field_instruction: question
35
+ field_output: response
36
+ system_format: '{system}'
37
+ system_prompt: ''
38
+ debug: null
39
+ deepspeed: null
40
+ early_stopping_patience: null
41
+ eval_max_new_tokens: 128
42
+ eval_table_size: null
43
+ evals_per_epoch: 4
44
+ flash_attention: false
45
+ fp16: null
46
+ fsdp: null
47
+ fsdp_config: null
48
+ gradient_accumulation_steps: 4
49
+ gradient_checkpointing: false
50
+ group_by_length: false
51
+ hub_model_id: Aivesa/fcac779a-5725-4a73-9b4e-2efb4a910e66
52
+ hub_private_repo: true
53
+ hub_repo: null
54
+ hub_strategy: checkpoint
55
+ hub_token: null
56
+ learning_rate: 0.0002
57
+ load_in_4bit: false
58
+ load_in_8bit: false
59
+ local_rank: null
60
+ logging_steps: 1
61
+ lora_alpha: 16
62
+ lora_dropout: 0.05
63
+ lora_fan_in_fan_out: null
64
+ lora_model_dir: null
65
+ lora_r: 8
66
+ lora_target_linear: true
67
+ lr_scheduler: cosine
68
+ max_steps: 10
69
+ micro_batch_size: 2
70
+ model_type: AutoModelForCausalLM
71
+ num_epochs: 1
72
+ optimizer: adamw_bnb_8bit
73
+ output_dir: /workspace/axolotl/outputs
74
+ pad_to_sequence_len: true
75
+ push_to_hub: true
76
+ resume_from_checkpoint: null
77
+ s2_attention: null
78
+ sample_packing: false
79
+ save_safetensors: true
80
+ saves_per_epoch: 4
81
+ sequence_len: 512
82
+ special_tokens:
83
+ pad_token: <|endoftext|>
84
+ strict: false
85
+ tf32: false
86
+ tokenizer_type: AutoTokenizer
87
+ train_on_inputs: false
88
+ trust_remote_code: true
89
+ use_accelerate: true
90
+ val_set_size: 0.05
91
+ wandb_entity: null
92
+ wandb_mode: online
93
+ wandb_name: fdc46627-e342-4f78-893f-6dc0ca47d94f
94
+ wandb_project: Gradients-On-Demand
95
+ wandb_run: your_name
96
+ wandb_runid: fdc46627-e342-4f78-893f-6dc0ca47d94f
97
+ warmup_steps: 10
98
+ weight_decay: 0.0
99
+ xformers_attention: null
100
+
101
+ ```
102
+
103
+ </details><br>
104
+
105
+ # fcac779a-5725-4a73-9b4e-2efb4a910e66
106
+
107
+ This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co/EleutherAI/pythia-160m) on the Aivesa/dataset_fdc46627-e342-4f78-893f-6dc0ca47d94f dataset.
108
+ It achieves the following results on the evaluation set:
109
+ - Loss: 2.1647
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: 0.0002
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: Use adamw_bnb_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
135
+ - lr_scheduler_type: cosine
136
+ - lr_scheduler_warmup_steps: 10
137
+ - training_steps: 10
138
+
139
+ ### Training results
140
+
141
+ | Training Loss | Epoch | Step | Validation Loss |
142
+ |:-------------:|:------:|:----:|:---------------:|
143
+ | 8.5446 | 0.0013 | 3 | 2.1987 |
144
+ | 7.1009 | 0.0026 | 6 | 2.1871 |
145
+ | 6.5375 | 0.0039 | 9 | 2.1647 |
146
+
147
+
148
+ ### Framework versions
149
+
150
+ - PEFT 0.14.0
151
+ - Transformers 4.47.1
152
+ - Pytorch 2.5.0a0+e000cf0ad9.nv24.10
153
+ - Datasets 3.1.0
154
+ - Tokenizers 0.21.0
adapter_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "unsloth/SmolLM2-135M",
5
+ "bias": "none",
6
+ "eva_config": null,
7
+ "exclude_modules": null,
8
+ "fan_in_fan_out": null,
9
+ "inference_mode": true,
10
+ "init_lora_weights": true,
11
+ "layer_replication": null,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 16,
16
+ "lora_bias": false,
17
+ "lora_dropout": 0.05,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": null,
21
+ "peft_type": "LORA",
22
+ "r": 8,
23
+ "rank_pattern": {},
24
+ "revision": null,
25
+ "target_modules": [
26
+ "up_proj",
27
+ "gate_proj",
28
+ "k_proj",
29
+ "v_proj",
30
+ "q_proj",
31
+ "down_proj",
32
+ "o_proj"
33
+ ],
34
+ "task_type": "CAUSAL_LM",
35
+ "use_dora": false,
36
+ "use_rslora": false
37
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:03909f9c672509a4f962c02321247cab60cbc76038f08abb863daa4ef050ec0e
3
+ size 9823216
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "<|PAD_TOKEN|>": 49152
3
+ }
config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_attn_implementation_autoset": true,
3
+ "_name_or_path": "unsloth/SmolLM2-135M",
4
+ "architectures": [
5
+ "LlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 0,
10
+ "eos_token_id": 0,
11
+ "head_dim": 64,
12
+ "hidden_act": "silu",
13
+ "hidden_size": 576,
14
+ "initializer_range": 0.041666666666666664,
15
+ "intermediate_size": 1536,
16
+ "is_llama_config": true,
17
+ "max_position_embeddings": 8192,
18
+ "mlp_bias": false,
19
+ "model_type": "llama",
20
+ "num_attention_heads": 9,
21
+ "num_hidden_layers": 30,
22
+ "num_key_value_heads": 3,
23
+ "pad_token_id": 49152,
24
+ "pretraining_tp": 1,
25
+ "rms_norm_eps": 1e-05,
26
+ "rope_interleaved": false,
27
+ "rope_scaling": null,
28
+ "rope_theta": 100000,
29
+ "tie_word_embeddings": true,
30
+ "torch_dtype": "bfloat16",
31
+ "transformers_version": "4.47.1",
32
+ "use_cache": false,
33
+ "vocab_size": 49153
34
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
special_tokens_map.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|endoftext|>",
4
+ "<|im_start|>",
5
+ "<|im_end|>",
6
+ "<repo_name>",
7
+ "<reponame>",
8
+ "<file_sep>",
9
+ "<filename>",
10
+ "<gh_stars>",
11
+ "<issue_start>",
12
+ "<issue_comment>",
13
+ "<issue_closed>",
14
+ "<jupyter_start>",
15
+ "<jupyter_text>",
16
+ "<jupyter_code>",
17
+ "<jupyter_output>",
18
+ "<jupyter_script>",
19
+ "<empty_output>"
20
+ ],
21
+ "bos_token": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ },
28
+ "eos_token": {
29
+ "content": "<|endoftext|>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false
34
+ },
35
+ "pad_token": {
36
+ "content": "<|PAD_TOKEN|>",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false
41
+ },
42
+ "unk_token": "�"
43
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
tokenizer_config.json ADDED
@@ -0,0 +1,187 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<repo_name>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<reponame>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<file_sep>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<filename>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<gh_stars>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_start>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_comment>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<issue_closed>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_start>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_text>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_code>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_output>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<jupyter_script>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<empty_output>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ },
140
+ "24211": {
141
+ "content": "�",
142
+ "lstrip": false,
143
+ "normalized": false,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": true
147
+ },
148
+ "49152": {
149
+ "content": "<|PAD_TOKEN|>",
150
+ "lstrip": false,
151
+ "normalized": false,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": true
155
+ }
156
+ },
157
+ "additional_special_tokens": [
158
+ "<|endoftext|>",
159
+ "<|im_start|>",
160
+ "<|im_end|>",
161
+ "<repo_name>",
162
+ "<reponame>",
163
+ "<file_sep>",
164
+ "<filename>",
165
+ "<gh_stars>",
166
+ "<issue_start>",
167
+ "<issue_comment>",
168
+ "<issue_closed>",
169
+ "<jupyter_start>",
170
+ "<jupyter_text>",
171
+ "<jupyter_code>",
172
+ "<jupyter_output>",
173
+ "<jupyter_script>",
174
+ "<empty_output>"
175
+ ],
176
+ "bos_token": "<|endoftext|>",
177
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
178
+ "clean_up_tokenization_spaces": false,
179
+ "eos_token": "<|endoftext|>",
180
+ "extra_special_tokens": {},
181
+ "model_max_length": 8192,
182
+ "pad_token": "<|PAD_TOKEN|>",
183
+ "padding_side": "left",
184
+ "tokenizer_class": "GPT2Tokenizer",
185
+ "unk_token": "�",
186
+ "vocab_size": 49152
187
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0bd2477c2453d108c0387bf9c873eab7d5d4e80fdf39d11bc29ac606266dcbe0
3
+ size 6904
vocab.json ADDED
The diff for this file is too large to render. See raw diff