wengnews commited on
Commit
c1e7357
1 Parent(s): 93315b9

Push model using huggingface_hub.

Browse files
README.md ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - trl
5
+ - transformers
6
+ - reinforcement-learning
7
+ ---
8
+
9
+ # TRL Model
10
+
11
+ This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to
12
+ guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
13
+
14
+ ## Usage
15
+
16
+ To use this model for inference, first install the TRL library:
17
+
18
+ ```bash
19
+ python -m pip install trl
20
+ ```
21
+
22
+ You can then generate text as follows:
23
+
24
+ ```python
25
+ from transformers import pipeline
26
+
27
+ generator = pipeline("text-generation", model="wengnews//tmp/tmpf8s2lv31/wengnews/tuning_llama_rl_checkpointsstep_9")
28
+ outputs = generator("Hello, my llama is cute")
29
+ ```
30
+
31
+ If you want to use the model for training or to obtain the outputs from the value head, load the model as follows:
32
+
33
+ ```python
34
+ from transformers import AutoTokenizer
35
+ from trl import AutoModelForCausalLMWithValueHead
36
+
37
+ tokenizer = AutoTokenizer.from_pretrained("wengnews//tmp/tmpf8s2lv31/wengnews/tuning_llama_rl_checkpointsstep_9")
38
+ model = AutoModelForCausalLMWithValueHead.from_pretrained("wengnews//tmp/tmpf8s2lv31/wengnews/tuning_llama_rl_checkpointsstep_9")
39
+
40
+ inputs = tokenizer("Hello, my llama is cute", return_tensors="pt")
41
+ outputs = model(**inputs, labels=inputs["input_ids"])
42
+ ```
adapter_config.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_name_or_path": "/root/autodl-fs/qufen",
3
+ "bias": "none",
4
+ "fan_in_fan_out": false,
5
+ "inference_mode": true,
6
+ "init_lora_weights": true,
7
+ "lora_alpha": 16,
8
+ "lora_dropout": 0.05,
9
+ "modules_to_save": null,
10
+ "peft_type": "LORA",
11
+ "r": 8,
12
+ "target_modules": [
13
+ "q_proj",
14
+ "v_proj"
15
+ ],
16
+ "task_type": "CAUSAL_LM"
17
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7914db533964fc24d93845e1ee55572cd87fd290aeb7b64c982f15a072cca165
3
+ size 16822989
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c6f281f9fc2ee7221c349d25e3df845160cba8bbe38bb2c2e1c9122674b08b0
3
+ size 17471
special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "</s>",
3
+ "eos_token": "</s>",
4
+ "pad_token": "[PAD]",
5
+ "unk_token": "</s>"
6
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "bos_token": {
5
+ "__type": "AddedToken",
6
+ "content": "<s>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "clean_up_tokenization_spaces": false,
13
+ "eos_token": {
14
+ "__type": "AddedToken",
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "model_max_length": 1000000000000000019884624838656,
22
+ "pad_token": null,
23
+ "sp_model_kwargs": {},
24
+ "tokenizer_class": "LlamaTokenizer",
25
+ "unk_token": {
26
+ "__type": "AddedToken",
27
+ "content": "<unk>",
28
+ "lstrip": false,
29
+ "normalized": true,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ }
33
+ }