Instructions to use jkanishkha0305/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jkanishkha0305/checkpoints with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jkanishkha0305/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
jkanishkha0305/rv-grpo-sft-qwen2.5-1.5b-instruct
Browse files- README.md +3 -3
- adapter_config.json +4 -4
- adapter_model.safetensors +2 -2
- chat_template.jinja +42 -81
- tokenizer.json +2 -2
- tokenizer_config.json +24 -9
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
---
|
| 2 |
-
base_model:
|
| 3 |
library_name: transformers
|
| 4 |
model_name: checkpoints
|
| 5 |
tags:
|
|
@@ -11,7 +11,7 @@ licence: license
|
|
| 11 |
|
| 12 |
# Model Card for checkpoints
|
| 13 |
|
| 14 |
-
This model is a fine-tuned version of [
|
| 15 |
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 16 |
|
| 17 |
## Quick start
|
|
@@ -27,7 +27,7 @@ print(output["generated_text"])
|
|
| 27 |
|
| 28 |
## Training procedure
|
| 29 |
|
| 30 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/jkanishkha0305/mental-health-sft/runs/
|
| 31 |
|
| 32 |
|
| 33 |
|
|
|
|
| 1 |
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-1.5B-Instruct
|
| 3 |
library_name: transformers
|
| 4 |
model_name: checkpoints
|
| 5 |
tags:
|
|
|
|
| 11 |
|
| 12 |
# Model Card for checkpoints
|
| 13 |
|
| 14 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct).
|
| 15 |
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 16 |
|
| 17 |
## Quick start
|
|
|
|
| 27 |
|
| 28 |
## Training procedure
|
| 29 |
|
| 30 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/jkanishkha0305/mental-health-sft/runs/cr59dahf)
|
| 31 |
|
| 32 |
|
| 33 |
|
adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
@@ -29,10 +29,10 @@
|
|
| 29 |
"rank_pattern": {},
|
| 30 |
"revision": null,
|
| 31 |
"target_modules": [
|
| 32 |
-
"v_proj",
|
| 33 |
-
"k_proj",
|
| 34 |
"o_proj",
|
| 35 |
-
"q_proj"
|
|
|
|
|
|
|
| 36 |
],
|
| 37 |
"target_parameters": null,
|
| 38 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-1.5B-Instruct",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 29 |
"rank_pattern": {},
|
| 30 |
"revision": null,
|
| 31 |
"target_modules": [
|
|
|
|
|
|
|
| 32 |
"o_proj",
|
| 33 |
+
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
+
"k_proj"
|
| 36 |
],
|
| 37 |
"target_parameters": null,
|
| 38 |
"task_type": "CAUSAL_LM",
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e31ba91a173600b3d05e0c0eedbb9a1b9490cee2480777371f9a087b216133b1
|
| 3 |
+
size 17462432
|
chat_template.jinja
CHANGED
|
@@ -1,93 +1,54 @@
|
|
| 1 |
-
{
|
| 2 |
-
{
|
| 3 |
-
{%-
|
| 4 |
-
{
|
| 5 |
-
{%- if not tools_in_user_message is defined %}
|
| 6 |
-
{%- set tools_in_user_message = true %}
|
| 7 |
-
{%- endif %}
|
| 8 |
-
{%- if not date_string is defined %}
|
| 9 |
-
{%- if strftime_now is defined %}
|
| 10 |
-
{%- set date_string = strftime_now("%d %b %Y") %}
|
| 11 |
{%- else %}
|
| 12 |
-
{
|
| 13 |
{%- endif %}
|
| 14 |
-
{
|
| 15 |
-
{%-
|
| 16 |
-
|
| 17 |
-
{
|
| 18 |
-
|
| 19 |
-
{#- This block extracts the system message, so we can slot it into the right place. #}
|
| 20 |
-
{%- if messages[0]['role'] == 'system' %}
|
| 21 |
-
{%- set system_message = messages[0]['content']|trim %}
|
| 22 |
-
{%- set messages = messages[1:] %}
|
| 23 |
-
{%- else %}
|
| 24 |
-
{%- set system_message = "" %}
|
| 25 |
-
{%- endif %}
|
| 26 |
-
|
| 27 |
-
{#- System message #}
|
| 28 |
-
{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
|
| 29 |
-
{%- if tools is not none %}
|
| 30 |
-
{{- "Environment: ipython\n" }}
|
| 31 |
-
{%- endif %}
|
| 32 |
-
{{- "Cutting Knowledge Date: December 2023\n" }}
|
| 33 |
-
{{- "Today Date: " + date_string + "\n\n" }}
|
| 34 |
-
{%- if tools is not none and not tools_in_user_message %}
|
| 35 |
-
{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
|
| 36 |
-
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 37 |
-
{{- "Do not use variables.\n\n" }}
|
| 38 |
-
{%- for t in tools %}
|
| 39 |
-
{{- t | tojson(indent=4) }}
|
| 40 |
-
{{- "\n\n" }}
|
| 41 |
{%- endfor %}
|
| 42 |
-
{
|
| 43 |
-
{
|
| 44 |
-
{
|
| 45 |
-
|
| 46 |
-
{#- Custom tools are passed in a user message with some extra guidance #}
|
| 47 |
-
{%- if tools_in_user_message and not tools is none %}
|
| 48 |
-
{#- Extract the first user message so we can plug it in here #}
|
| 49 |
-
{%- if messages | length != 0 %}
|
| 50 |
-
{%- set first_user_message = messages[0]['content']|trim %}
|
| 51 |
-
{%- set messages = messages[1:] %}
|
| 52 |
{%- else %}
|
| 53 |
-
{{-
|
| 54 |
-
{%- endif %}
|
| 55 |
-
{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
|
| 56 |
-
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
| 57 |
-
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
|
| 58 |
-
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 59 |
-
{{- "Do not use variables.\n\n" }}
|
| 60 |
-
{%- for t in tools %}
|
| 61 |
-
{{- t | tojson(indent=4) }}
|
| 62 |
-
{{- "\n\n" }}
|
| 63 |
-
{%- endfor %}
|
| 64 |
-
{{- first_user_message + "<|eot_id|>"}}
|
| 65 |
{%- endif %}
|
| 66 |
-
|
| 67 |
{%- for message in messages %}
|
| 68 |
-
{%- if
|
| 69 |
-
{{- '<|
|
| 70 |
-
{%- elif
|
| 71 |
-
{
|
| 72 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 73 |
{%- endif %}
|
| 74 |
-
{
|
| 75 |
-
{{-
|
| 76 |
-
{{- '
|
| 77 |
-
{
|
| 78 |
-
|
| 79 |
-
{{- "}" }}
|
| 80 |
-
{{- "<|eot_id|>" }}
|
| 81 |
-
{%- elif message.role == "tool" or message.role == "ipython" %}
|
| 82 |
-
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
|
| 83 |
-
{%- if message.content is mapping or message.content is iterable %}
|
| 84 |
-
{{- message.content | tojson }}
|
| 85 |
-
{%- else %}
|
| 86 |
-
{{- message.content }}
|
| 87 |
{%- endif %}
|
| 88 |
-
{{- "<|eot_id|>" }}
|
| 89 |
{%- endif %}
|
| 90 |
{%- endfor %}
|
| 91 |
{%- if add_generation_prompt %}
|
| 92 |
-
{{- '<|
|
| 93 |
{%- endif %}
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 20 |
{%- endif %}
|
|
|
|
| 21 |
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 49 |
{%- endif %}
|
|
|
|
| 50 |
{%- endif %}
|
| 51 |
{%- endfor %}
|
| 52 |
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
{%- endif %}
|
tokenizer.json
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
tokenizer_config.json
CHANGED
|
@@ -1,14 +1,29 @@
|
|
| 1 |
{
|
|
|
|
| 2 |
"backend": "tokenizers",
|
| 3 |
-
"bos_token":
|
| 4 |
-
"clean_up_tokenization_spaces":
|
| 5 |
-
"eos_token": "<|
|
| 6 |
-
"
|
| 7 |
-
"
|
| 8 |
-
"
|
| 9 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
],
|
|
|
|
| 11 |
"model_max_length": 131072,
|
| 12 |
-
"pad_token": "<|
|
| 13 |
-
"
|
|
|
|
|
|
|
| 14 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
],
|
| 23 |
+
"is_local": false,
|
| 24 |
"model_max_length": 131072,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5368
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:474869c3ce39703a0c4d191fdbb3e05aa0d8d53d336b5bc3e9d6223b712c9897
|
| 3 |
size 5368
|