Upload folder using huggingface_hub
Browse files- .gitattributes +2 -0
- README.md +301 -0
- checkpoint-3189/README.md +204 -0
- checkpoint-3189/adapter_config.json +32 -0
- checkpoint-3189/adapter_model.safetensors +3 -0
- checkpoint-3189/optimizer.pt +3 -0
- checkpoint-3189/rng_state.pth +3 -0
- checkpoint-3189/scheduler.pt +3 -0
- checkpoint-3189/special_tokens_map.json +34 -0
- checkpoint-3189/tokenizer.json +3 -0
- checkpoint-3189/tokenizer_config.json +70 -0
- checkpoint-3189/trainer_state.json +2247 -0
- checkpoint-3189/training_args.bin +3 -0
- config.json +28 -0
- generation_config.json +7 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +171 -0
- runs/Mar27_16-25-16_393edc92728c/events.out.tfevents.1711556787.393edc92728c.586.0 +3 -0
- special_tokens_map.json +34 -0
- tokenizer.json +3 -0
- tokenizer_config.json +70 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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checkpoint-3189/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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1 |
+
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2 |
+
---
|
3 |
+
license: apache-2.0
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4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
- google/gemma
|
7 |
+
- PyTorch
|
8 |
+
- transformers
|
9 |
+
- trl
|
10 |
+
- peft
|
11 |
+
- tensorboard
|
12 |
+
model-index:
|
13 |
+
- name: pygemma-2b-it
|
14 |
+
results: []
|
15 |
+
datasets:
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16 |
+
- Vezora/Tested-143k-Python-Alpaca
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17 |
+
language:
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18 |
+
- en
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19 |
+
base_model: google/gemma-2b
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20 |
+
widget:
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21 |
+
- example_title: Compute Sum
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22 |
+
messages:
|
23 |
+
- role: system
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24 |
+
content: Welcome to PyGemma, your AI-powered Python assistant. I'm here to help you answer common questions about the Python programming language. Let's dive into Python!
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25 |
+
- role: user
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26 |
+
content: Create a function to calculate the sum of a sequence of integers.
|
27 |
+
pipeline_tag: text-generation
|
28 |
+
---
|
29 |
+
|
30 |
+
# Model Card for pygemma-2b-it:
|
31 |
+
|
32 |
+
🐍💬🤖
|
33 |
+
|
34 |
+
|
35 |
+
**pygemma-2b-it** is a language model that is trained to act as Python assistant. It is a finetuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) that was trained using `SFTTrainer` on publicly available dataset
|
36 |
+
[Vezora/Tested-143k-Python-Alpaca](https://huggingface.co/datasets/Vezora/Tested-143k-Python-Alpaca).
|
37 |
+
|
38 |
+
|
39 |
+
## Training Metrics
|
40 |
+
|
41 |
+
[The training metrics can be found on **TensorBoard**](https://huggingface.co/Menouar/pygemma-2b-it/tensorboard).
|
42 |
+
|
43 |
+
|
44 |
+
## Training hyperparameters
|
45 |
+
|
46 |
+
The following hyperparameters were used during the training:
|
47 |
+
|
48 |
+
|
49 |
+
- output_dir: peft-lora-model
|
50 |
+
|
51 |
+
- overwrite_output_dir: True
|
52 |
+
|
53 |
+
- do_train: False
|
54 |
+
|
55 |
+
- do_eval: False
|
56 |
+
|
57 |
+
- do_predict: False
|
58 |
+
|
59 |
+
- evaluation_strategy: no
|
60 |
+
|
61 |
+
- prediction_loss_only: False
|
62 |
+
|
63 |
+
- per_device_train_batch_size: 2
|
64 |
+
|
65 |
+
- per_device_eval_batch_size: None
|
66 |
+
|
67 |
+
- per_gpu_train_batch_size: None
|
68 |
+
|
69 |
+
- per_gpu_eval_batch_size: None
|
70 |
+
|
71 |
+
- gradient_accumulation_steps: 4
|
72 |
+
|
73 |
+
- eval_accumulation_steps: None
|
74 |
+
|
75 |
+
- eval_delay: 0
|
76 |
+
|
77 |
+
- learning_rate: 2e-05
|
78 |
+
|
79 |
+
- weight_decay: 0.0
|
80 |
+
|
81 |
+
- adam_beta1: 0.9
|
82 |
+
|
83 |
+
- adam_beta2: 0.999
|
84 |
+
|
85 |
+
- adam_epsilon: 1e-08
|
86 |
+
|
87 |
+
- max_grad_norm: 0.3
|
88 |
+
|
89 |
+
- num_train_epochs: 1
|
90 |
+
|
91 |
+
- max_steps: -1
|
92 |
+
|
93 |
+
- lr_scheduler_type: cosine
|
94 |
+
|
95 |
+
- lr_scheduler_kwargs: {}
|
96 |
+
|
97 |
+
- warmup_ratio: 0.1
|
98 |
+
|
99 |
+
- warmup_steps: 0
|
100 |
+
|
101 |
+
- log_level: passive
|
102 |
+
|
103 |
+
- log_level_replica: warning
|
104 |
+
|
105 |
+
- log_on_each_node: True
|
106 |
+
|
107 |
+
- logging_dir: peft-lora-model/runs/Mar27_16-25-16_393edc92728c
|
108 |
+
|
109 |
+
- logging_strategy: steps
|
110 |
+
|
111 |
+
- logging_first_step: False
|
112 |
+
|
113 |
+
- logging_steps: 10
|
114 |
+
|
115 |
+
- logging_nan_inf_filter: True
|
116 |
+
|
117 |
+
- save_strategy: epoch
|
118 |
+
|
119 |
+
- save_steps: 500
|
120 |
+
|
121 |
+
- save_total_limit: None
|
122 |
+
|
123 |
+
- save_safetensors: True
|
124 |
+
|
125 |
+
- save_on_each_node: False
|
126 |
+
|
127 |
+
- save_only_model: False
|
128 |
+
|
129 |
+
- no_cuda: False
|
130 |
+
|
131 |
+
- use_cpu: False
|
132 |
+
|
133 |
+
- use_mps_device: False
|
134 |
+
|
135 |
+
- seed: 42
|
136 |
+
|
137 |
+
- data_seed: None
|
138 |
+
|
139 |
+
- jit_mode_eval: False
|
140 |
+
|
141 |
+
- use_ipex: False
|
142 |
+
|
143 |
+
- bf16: True
|
144 |
+
|
145 |
+
- fp16: False
|
146 |
+
|
147 |
+
- fp16_opt_level: O1
|
148 |
+
|
149 |
+
- half_precision_backend: auto
|
150 |
+
|
151 |
+
- bf16_full_eval: False
|
152 |
+
|
153 |
+
- fp16_full_eval: False
|
154 |
+
|
155 |
+
- tf32: None
|
156 |
+
|
157 |
+
- local_rank: 0
|
158 |
+
|
159 |
+
- ddp_backend: None
|
160 |
+
|
161 |
+
- tpu_num_cores: None
|
162 |
+
|
163 |
+
- tpu_metrics_debug: False
|
164 |
+
|
165 |
+
- debug: []
|
166 |
+
|
167 |
+
- dataloader_drop_last: False
|
168 |
+
|
169 |
+
- eval_steps: None
|
170 |
+
|
171 |
+
- dataloader_num_workers: 0
|
172 |
+
|
173 |
+
- dataloader_prefetch_factor: None
|
174 |
+
|
175 |
+
- past_index: -1
|
176 |
+
|
177 |
+
- run_name: peft-lora-model
|
178 |
+
|
179 |
+
- disable_tqdm: False
|
180 |
+
|
181 |
+
- remove_unused_columns: True
|
182 |
+
|
183 |
+
- label_names: None
|
184 |
+
|
185 |
+
- load_best_model_at_end: False
|
186 |
+
|
187 |
+
- metric_for_best_model: None
|
188 |
+
|
189 |
+
- greater_is_better: None
|
190 |
+
|
191 |
+
- ignore_data_skip: False
|
192 |
+
|
193 |
+
- fsdp: []
|
194 |
+
|
195 |
+
- fsdp_min_num_params: 0
|
196 |
+
|
197 |
+
- fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
|
198 |
+
|
199 |
+
- fsdp_transformer_layer_cls_to_wrap: None
|
200 |
+
|
201 |
+
- accelerator_config: AcceleratorConfig(split_batches=False, dispatch_batches=None, even_batches=True, use_seedable_sampler=True)
|
202 |
+
|
203 |
+
- deepspeed: None
|
204 |
+
|
205 |
+
- label_smoothing_factor: 0.0
|
206 |
+
|
207 |
+
- optim: adamw_torch_fused
|
208 |
+
|
209 |
+
- optim_args: None
|
210 |
+
|
211 |
+
- adafactor: False
|
212 |
+
|
213 |
+
- group_by_length: False
|
214 |
+
|
215 |
+
- length_column_name: length
|
216 |
+
|
217 |
+
- report_to: ['tensorboard']
|
218 |
+
|
219 |
+
- ddp_find_unused_parameters: None
|
220 |
+
|
221 |
+
- ddp_bucket_cap_mb: None
|
222 |
+
|
223 |
+
- ddp_broadcast_buffers: None
|
224 |
+
|
225 |
+
- dataloader_pin_memory: True
|
226 |
+
|
227 |
+
- dataloader_persistent_workers: False
|
228 |
+
|
229 |
+
- skip_memory_metrics: True
|
230 |
+
|
231 |
+
- use_legacy_prediction_loop: False
|
232 |
+
|
233 |
+
- push_to_hub: False
|
234 |
+
|
235 |
+
- resume_from_checkpoint: None
|
236 |
+
|
237 |
+
- hub_model_id: None
|
238 |
+
|
239 |
+
- hub_strategy: every_save
|
240 |
+
|
241 |
+
- hub_token: None
|
242 |
+
|
243 |
+
- hub_private_repo: False
|
244 |
+
|
245 |
+
- hub_always_push: False
|
246 |
+
|
247 |
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- gradient_checkpointing: True
|
248 |
+
|
249 |
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- gradient_checkpointing_kwargs: {'use_reentrant': False}
|
250 |
+
|
251 |
+
- include_inputs_for_metrics: False
|
252 |
+
|
253 |
+
- fp16_backend: auto
|
254 |
+
|
255 |
+
- push_to_hub_model_id: None
|
256 |
+
|
257 |
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- push_to_hub_organization: None
|
258 |
+
|
259 |
+
- push_to_hub_token: None
|
260 |
+
|
261 |
+
- mp_parameters:
|
262 |
+
|
263 |
+
- auto_find_batch_size: False
|
264 |
+
|
265 |
+
- full_determinism: False
|
266 |
+
|
267 |
+
- torchdynamo: None
|
268 |
+
|
269 |
+
- ray_scope: last
|
270 |
+
|
271 |
+
- ddp_timeout: 1800
|
272 |
+
|
273 |
+
- torch_compile: False
|
274 |
+
|
275 |
+
- torch_compile_backend: None
|
276 |
+
|
277 |
+
- torch_compile_mode: None
|
278 |
+
|
279 |
+
- dispatch_batches: None
|
280 |
+
|
281 |
+
- split_batches: None
|
282 |
+
|
283 |
+
- include_tokens_per_second: False
|
284 |
+
|
285 |
+
- include_num_input_tokens_seen: False
|
286 |
+
|
287 |
+
- neftune_noise_alpha: None
|
288 |
+
|
289 |
+
- distributed_state: Distributed environment: NO
|
290 |
+
Num processes: 1
|
291 |
+
Process index: 0
|
292 |
+
Local process index: 0
|
293 |
+
Device: cuda
|
294 |
+
|
295 |
+
|
296 |
+
- _n_gpu: 1
|
297 |
+
|
298 |
+
- __cached__setup_devices: cuda:0
|
299 |
+
|
300 |
+
- deepspeed_plugin: None
|
301 |
+
|
checkpoint-3189/README.md
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: google/gemma-2b-it
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
|
201 |
+
|
202 |
+
### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.8.2
|
checkpoint-3189/adapter_config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "google/gemma-2b-it",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layers_pattern": null,
|
10 |
+
"layers_to_transform": null,
|
11 |
+
"loftq_config": {},
|
12 |
+
"lora_alpha": 8,
|
13 |
+
"lora_dropout": 0.05,
|
14 |
+
"megatron_config": null,
|
15 |
+
"megatron_core": "megatron.core",
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 6,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"down_proj",
|
23 |
+
"o_proj",
|
24 |
+
"q_proj",
|
25 |
+
"gate_proj",
|
26 |
+
"k_proj",
|
27 |
+
"up_proj",
|
28 |
+
"v_proj"
|
29 |
+
],
|
30 |
+
"task_type": "CAUSAL_LM",
|
31 |
+
"use_rslora": false
|
32 |
+
}
|
checkpoint-3189/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5c9dff0bf83a8edff7cd20a1aefc13b5c88269824e89faf44b978a9f52d269e3
|
3 |
+
size 14741912
|
checkpoint-3189/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b8428fddbaa60a70bcaa2f37ccb1259242f389e743d2d28147c5ce4c72072010
|
3 |
+
size 29632634
|
checkpoint-3189/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0d0c9ad8ed7f26da07b2ebdefd5b26221bb755988b49b34d6e3873456f009d84
|
3 |
+
size 14244
|
checkpoint-3189/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2b3052206627118932eac0246dd2f0072d1c016df2fe5429652766e4eb44c70e
|
3 |
+
size 1064
|
checkpoint-3189/special_tokens_map.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>"
|
5 |
+
],
|
6 |
+
"bos_token": {
|
7 |
+
"content": "<bos>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false
|
12 |
+
},
|
13 |
+
"eos_token": {
|
14 |
+
"content": "<eos>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false
|
19 |
+
},
|
20 |
+
"pad_token": {
|
21 |
+
"content": "<pad>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false
|
26 |
+
},
|
27 |
+
"unk_token": {
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false
|
33 |
+
}
|
34 |
+
}
|
checkpoint-3189/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:22449cb9ef4bad0db7dd93b46ddff7ab7d6a654dd4f903e130ddb6361eac3af5
|
3 |
+
size 17477473
|
checkpoint-3189/tokenizer_config.json
ADDED
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<pad>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<eos>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "<bos>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"3": {
|
30 |
+
"content": "<unk>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"106": {
|
38 |
+
"content": "<|im_start|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"107": {
|
46 |
+
"content": "<|im_end|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
}
|
53 |
+
},
|
54 |
+
"additional_special_tokens": [
|
55 |
+
"<|im_start|>",
|
56 |
+
"<|im_end|>"
|
57 |
+
],
|
58 |
+
"bos_token": "<bos>",
|
59 |
+
"chat_template": "{% if messages[0]['role'] == 'user' or messages[0]['role'] == 'system' %}{{ bos_token }}{% endif %}{% for message in messages %}{{ '<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n' }}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% elif messages[-1]['role'] == 'assistant' %}{{ eos_token }}{% endif %}",
|
60 |
+
"clean_up_tokenization_spaces": false,
|
61 |
+
"eos_token": "<eos>",
|
62 |
+
"legacy": null,
|
63 |
+
"model_max_length": 1000000000000000019884624838656,
|
64 |
+
"pad_token": "<pad>",
|
65 |
+
"sp_model_kwargs": {},
|
66 |
+
"spaces_between_special_tokens": false,
|
67 |
+
"tokenizer_class": "GemmaTokenizer",
|
68 |
+
"unk_token": "<unk>",
|
69 |
+
"use_default_system_prompt": false
|
70 |
+
}
|
checkpoint-3189/trainer_state.json
ADDED
@@ -0,0 +1,2247 @@
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