jcarbonnell
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Browse files- README.md +47 -0
- config.json +30 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +490 -0
- runs/May30_23-58-03_r-jcarbonnell-autotrain-advanced-ghwi43f7-9ac9f-rj0p6/events.out.tfevents.1717113509.r-jcarbonnell-autotrain-advanced-ghwi43f7-9ac9f-rj0p6.158.0 +2 -2
- special_tokens_map.json +70 -0
- tokenizer.json +0 -0
- tokenizer_config.json +358 -0
- training_args.bin +3 -0
- training_params.json +47 -0
- vocab.json +0 -0
README.md
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---
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tags:
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- autotrain
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- text-generation-inference
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- text-generation
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- peft
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library_name: transformers
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widget:
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- messages:
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- role: user
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content: What is your favorite condiment?
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license: other
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datasets:
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- jcarbonnell/NEARdAppsPrompts
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---
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# Model Trained Using AutoTrain
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This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
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# Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = "PATH_TO_THIS_REPO"
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(
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model_path,
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device_map="auto",
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torch_dtype='auto'
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).eval()
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# Prompt content: "hi"
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messages = [
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{"role": "user", "content": "hi"}
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]
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input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
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output_ids = model.generate(input_ids.to('cuda'))
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response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
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# Model response: "Hello! How can I assist you today?"
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print(response)
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```
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config.json
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{
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"_name_or_path": "jcarbonnell/NEAR-preTrainedStarCoder2",
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"architectures": [
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"Starcoder2ForCausalLM"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 0,
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"embedding_dropout": 0.1,
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"eos_token_id": 0,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 3072,
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"initializer_range": 0.018042,
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"intermediate_size": 12288,
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"max_position_embeddings": 16384,
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"mlp_type": "default",
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"model_type": "starcoder2",
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"norm_epsilon": 1e-05,
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"norm_type": "layer_norm",
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"num_attention_heads": 24,
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"num_hidden_layers": 30,
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"num_key_value_heads": 2,
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"residual_dropout": 0.1,
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"rope_theta": 999999.4420358813,
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"sliding_window": 4096,
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"torch_dtype": "float16",
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"transformers_version": "4.41.0",
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"use_bias": true,
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"use_cache": true,
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"vocab_size": 49152
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"transformers_version": "4.41.0"
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:382af5346c0e3846c7457e0827fa9e611c6367c5bcd219a43c9d52b9676032f1
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size 4949933808
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc2322845a1e09e390d3d9c6b8aba692b7fe46cd9dabc92c99ae3607a71763c0
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size 1110862480
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model.safetensors.index.json
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"<fim_pad>",
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316 |
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334 |
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336 |
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|
338 |
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|
340 |
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|
341 |
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|
342 |
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|
343 |
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|
344 |
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"<NAME>",
|
345 |
+
"<EMAIL>",
|
346 |
+
"<KEY>",
|
347 |
+
"<PASSWORD>"
|
348 |
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],
|
349 |
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|
350 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
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|
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|
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|
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|
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|
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|
358 |
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}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:2e32dc7252d8b4fb8c589b5a3d5c444bddf41f488996a13606e3ecfee9534b75
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3 |
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size 5176
|
training_params.json
ADDED
@@ -0,0 +1,47 @@
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|
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|
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|
|
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|
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|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"model": "jcarbonnell/NEAR-preTrainedStarCoder2",
|
3 |
+
"project_name": "autotrain-1uuki-4qb0o",
|
4 |
+
"data_path": "jcarbonnell/NEARdAppsPrompts",
|
5 |
+
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|
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|
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|
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|
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|
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|
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|
12 |
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|
13 |
+
"log": "tensorboard",
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
24 |
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"gradient_accumulation": 4,
|
25 |
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"optimizer": "adamw_torch",
|
26 |
+
"scheduler": "linear",
|
27 |
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|
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|
29 |
+
"seed": 42,
|
30 |
+
"chat_template": "none",
|
31 |
+
"quantization": "int4",
|
32 |
+
"target_modules": "all-linear",
|
33 |
+
"merge_adapter": true,
|
34 |
+
"peft": true,
|
35 |
+
"lora_r": 16,
|
36 |
+
"lora_alpha": 32,
|
37 |
+
"lora_dropout": 0.05,
|
38 |
+
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|
39 |
+
"dpo_beta": 0.1,
|
40 |
+
"max_prompt_length": 128,
|
41 |
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"max_completion_length": 128,
|
42 |
+
"prompt_text_column": "user_prompt",
|
43 |
+
"text_column": "tree",
|
44 |
+
"rejected_text_column": "rejected_output",
|
45 |
+
"push_to_hub": true,
|
46 |
+
"username": "jcarbonnell"
|
47 |
+
}
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|