Checkpoint after epoch 160
Browse files- README.md +44 -0
- config.json +31 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- rlhf_config.yaml +149 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +215 -0
README.md
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
library_name: transformers
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- ppo
|
7 |
+
- transformers
|
8 |
+
- reinforcement-learning
|
9 |
+
---
|
10 |
+
|
11 |
+
# TRL Model
|
12 |
+
|
13 |
+
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
|
14 |
+
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
|
15 |
+
|
16 |
+
## Usage
|
17 |
+
|
18 |
+
To use this model for inference, first install the TRL library:
|
19 |
+
|
20 |
+
```bash
|
21 |
+
python -m pip install trl
|
22 |
+
```
|
23 |
+
|
24 |
+
You can then generate text as follows:
|
25 |
+
|
26 |
+
```python
|
27 |
+
from transformers import pipeline
|
28 |
+
|
29 |
+
generator = pipeline("text-generation", model="ajagota71//kaggle/working/irl_llms/outputs/2025-05-16_09-29-11/checkpoints/temp-checkpoint-epoch-160")
|
30 |
+
outputs = generator("Hello, my llama is cute")
|
31 |
+
```
|
32 |
+
|
33 |
+
If you want to use the model for training or to obtain the outputs from the value head, load the model as follows:
|
34 |
+
|
35 |
+
```python
|
36 |
+
from transformers import AutoTokenizer
|
37 |
+
from trl import AutoModelForCausalLMWithValueHead
|
38 |
+
|
39 |
+
tokenizer = AutoTokenizer.from_pretrained("ajagota71//kaggle/working/irl_llms/outputs/2025-05-16_09-29-11/checkpoints/temp-checkpoint-epoch-160")
|
40 |
+
model = AutoModelForCausalLMWithValueHead.from_pretrained("ajagota71//kaggle/working/irl_llms/outputs/2025-05-16_09-29-11/checkpoints/temp-checkpoint-epoch-160")
|
41 |
+
|
42 |
+
inputs = tokenizer("Hello, my llama is cute", return_tensors="pt")
|
43 |
+
outputs = model(**inputs, labels=inputs["input_ids"])
|
44 |
+
```
|
config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"GPTNeoXForCausalLM"
|
4 |
+
],
|
5 |
+
"attention_bias": true,
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"classifier_dropout": 0.1,
|
9 |
+
"eos_token_id": 0,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout": 0.0,
|
12 |
+
"hidden_size": 512,
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"intermediate_size": 2048,
|
15 |
+
"layer_norm_eps": 1e-05,
|
16 |
+
"max_position_embeddings": 2048,
|
17 |
+
"model_type": "gpt_neox",
|
18 |
+
"num_attention_heads": 8,
|
19 |
+
"num_hidden_layers": 6,
|
20 |
+
"partial_rotary_factor": 0.25,
|
21 |
+
"rope_scaling": null,
|
22 |
+
"rope_theta": 10000,
|
23 |
+
"rotary_emb_base": 10000,
|
24 |
+
"rotary_pct": 0.25,
|
25 |
+
"tie_word_embeddings": false,
|
26 |
+
"torch_dtype": "float32",
|
27 |
+
"transformers_version": "4.51.3",
|
28 |
+
"use_cache": true,
|
29 |
+
"use_parallel_residual": true,
|
30 |
+
"vocab_size": 50304
|
31 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 0,
|
4 |
+
"eos_token_id": 0,
|
5 |
+
"transformers_version": "4.51.3"
|
6 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b32be9d1a669852be11745230be30816157c2f3cc2c7c5b1f5e4d1837d9def3e
|
3 |
+
size 281717404
|
rlhf_config.yaml
ADDED
@@ -0,0 +1,149 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
rlhf:
|
2 |
+
model:
|
3 |
+
name: EleutherAI/pythia-70M
|
4 |
+
learning_rate: 1.0e-05
|
5 |
+
ppo_epochs: 4
|
6 |
+
init_kl_coef: 0.2
|
7 |
+
target: 6
|
8 |
+
cliprange: 0.2
|
9 |
+
cliprange_value: 0.2
|
10 |
+
vf_coef: 0.1
|
11 |
+
adap_kl_ctrl: true
|
12 |
+
use_score_norm: true
|
13 |
+
ratio_threshold: 10.0
|
14 |
+
batch_size: 128
|
15 |
+
mini_batch_size: 8
|
16 |
+
forward_batch_size: 8
|
17 |
+
gradient_accumulation_steps: 8
|
18 |
+
reward_model: facebook/roberta-hate-speech-dynabench-r4-target
|
19 |
+
use_raw_logits: true
|
20 |
+
generation:
|
21 |
+
min_length: 5
|
22 |
+
output_min_length: 15
|
23 |
+
output_max_length: 20
|
24 |
+
do_sample: true
|
25 |
+
top_k: 0.0
|
26 |
+
top_p: 1.0
|
27 |
+
training:
|
28 |
+
num_train_epochs: 100
|
29 |
+
save_freq: 20
|
30 |
+
eval_freq: 20
|
31 |
+
seed: 42
|
32 |
+
dataset:
|
33 |
+
name: allenai/real-toxicity-prompts
|
34 |
+
toxicity_threshold: 0.3
|
35 |
+
input_min_text_length: 15
|
36 |
+
input_max_text_length: 20
|
37 |
+
test_size: 0.1
|
38 |
+
output:
|
39 |
+
push_to_hub: true
|
40 |
+
organization: null
|
41 |
+
repository_name: pythia-70m-detox
|
42 |
+
wandb:
|
43 |
+
project: irl_llms
|
44 |
+
entity: null
|
45 |
+
name: null
|
46 |
+
irl:
|
47 |
+
mode: train
|
48 |
+
dataset:
|
49 |
+
original_model_name: EleutherAI/pythia-70M
|
50 |
+
detoxified_model_name: ajagota71/pythia-70m-detox-epoch-100
|
51 |
+
original_dataset_path: null
|
52 |
+
detoxified_dataset_path: null
|
53 |
+
cache_dir: ${hydra:runtime.cwd}/datasets
|
54 |
+
num_samples: 1000
|
55 |
+
max_new_tokens: 30
|
56 |
+
batch_size: 16
|
57 |
+
temperature: 0.7
|
58 |
+
top_p: 1.0
|
59 |
+
seed: ${seed}
|
60 |
+
use_cached: false
|
61 |
+
toxicity_threshold: 0.3
|
62 |
+
push_to_hub: false
|
63 |
+
hub_org: null
|
64 |
+
hub_token: ${oc.env:HF_TOKEN,null}
|
65 |
+
private: false
|
66 |
+
use_half_precision: null
|
67 |
+
model:
|
68 |
+
reward_model_base: null
|
69 |
+
use_half_precision: null
|
70 |
+
num_unfrozen_layers: 1
|
71 |
+
training:
|
72 |
+
irl_method: max_margin
|
73 |
+
learning_rate: 1.0e-05
|
74 |
+
epochs: 20
|
75 |
+
batch_size: 4
|
76 |
+
eval_interval: 5
|
77 |
+
max_length: 512
|
78 |
+
train_test_split: 0.8
|
79 |
+
grad_clip: 1.0
|
80 |
+
weight_decay: 0.01
|
81 |
+
margin: 0.1
|
82 |
+
temperature: 0.1
|
83 |
+
adam_epsilon: 1.0e-08
|
84 |
+
seed: ${seed}
|
85 |
+
include_prompt: true
|
86 |
+
output:
|
87 |
+
repo_name_prefix: irl-reward-model
|
88 |
+
base_dir: ${hydra:runtime.cwd}/outputs/irl
|
89 |
+
save_checkpoints: true
|
90 |
+
push_to_hub: false
|
91 |
+
hub_org: ajagota71
|
92 |
+
private: false
|
93 |
+
evaluation:
|
94 |
+
true_reward_model: facebook/roberta-hate-speech-dynabench-r4-target
|
95 |
+
logging:
|
96 |
+
project_name: irl-detoxification
|
97 |
+
use_wandb: true
|
98 |
+
wandb_mode: online
|
99 |
+
now: 2025-05-16_09-29-11
|
100 |
+
seed: 42
|
101 |
+
output_dir: ${hydra:runtime.cwd}/outputs/${now:%Y-%m-%d_%H-%M-%S}
|
102 |
+
mode: train
|
103 |
+
model:
|
104 |
+
name: EleutherAI/pythia-70M
|
105 |
+
learning_rate: 1.0e-05
|
106 |
+
batch_size: 128
|
107 |
+
mini_batch_size: 8
|
108 |
+
forward_batch_size: 8
|
109 |
+
gradient_accumulation_steps: 8
|
110 |
+
reward_model: facebook/roberta-hate-speech-dynabench-r4-target
|
111 |
+
use_raw_logits: true
|
112 |
+
ppo_epochs: 4
|
113 |
+
init_kl_coef: 0.2
|
114 |
+
target: 6
|
115 |
+
cliprange: 0.2
|
116 |
+
cliprange_value: 0.2
|
117 |
+
vf_coef: 0.1
|
118 |
+
adap_kl_ctrl: true
|
119 |
+
use_score_norm: true
|
120 |
+
ratio_threshold: 10.0
|
121 |
+
generation:
|
122 |
+
min_length: 5
|
123 |
+
output_min_length: 15
|
124 |
+
output_max_length: 20
|
125 |
+
do_sample: true
|
126 |
+
top_k: 0.0
|
127 |
+
top_p: 1.0
|
128 |
+
training:
|
129 |
+
num_train_epochs: 200
|
130 |
+
save_freq: 50
|
131 |
+
eval_freq: 20
|
132 |
+
seed: 42
|
133 |
+
dataset:
|
134 |
+
name: allenai/real-toxicity-prompts
|
135 |
+
toxicity_threshold: 0.3
|
136 |
+
input_min_text_length: 15
|
137 |
+
input_max_text_length: 20
|
138 |
+
test_size: 0.1
|
139 |
+
output:
|
140 |
+
push_to_hub: true
|
141 |
+
push_checkpoints_to_hub: true
|
142 |
+
checkpoint_push_freq: 20
|
143 |
+
organization: ajagota71
|
144 |
+
repository_name: pythia-70m-fb-detox
|
145 |
+
private: false
|
146 |
+
wandb:
|
147 |
+
project: irl_llms
|
148 |
+
entity: null
|
149 |
+
name: pythia-70M-2025-05-16_09-29-11
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|endoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<|endoftext|>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<|endoftext|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,215 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": false,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<|endoftext|>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<|padding|>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"50254": {
|
23 |
+
"content": " ",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": true,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": false
|
29 |
+
},
|
30 |
+
"50255": {
|
31 |
+
"content": " ",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": true,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": false
|
37 |
+
},
|
38 |
+
"50256": {
|
39 |
+
"content": " ",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": true,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": false
|
45 |
+
},
|
46 |
+
"50257": {
|
47 |
+
"content": " ",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": true,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": false
|
53 |
+
},
|
54 |
+
"50258": {
|
55 |
+
"content": " ",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": true,
|
58 |
+
"rstrip": false,
|
59 |
+
"single_word": false,
|
60 |
+
"special": false
|
61 |
+
},
|
62 |
+
"50259": {
|
63 |
+
"content": " ",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": true,
|
66 |
+
"rstrip": false,
|
67 |
+
"single_word": false,
|
68 |
+
"special": false
|
69 |
+
},
|
70 |
+
"50260": {
|
71 |
+
"content": " ",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": true,
|
74 |
+
"rstrip": false,
|
75 |
+
"single_word": false,
|
76 |
+
"special": false
|
77 |
+
},
|
78 |
+
"50261": {
|
79 |
+
"content": " ",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": true,
|
82 |
+
"rstrip": false,
|
83 |
+
"single_word": false,
|
84 |
+
"special": false
|
85 |
+
},
|
86 |
+
"50262": {
|
87 |
+
"content": " ",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": true,
|
90 |
+
"rstrip": false,
|
91 |
+
"single_word": false,
|
92 |
+
"special": false
|
93 |
+
},
|
94 |
+
"50263": {
|
95 |
+
"content": " ",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": true,
|
98 |
+
"rstrip": false,
|
99 |
+
"single_word": false,
|
100 |
+
"special": false
|
101 |
+
},
|
102 |
+
"50264": {
|
103 |
+
"content": " ",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": true,
|
106 |
+
"rstrip": false,
|
107 |
+
"single_word": false,
|
108 |
+
"special": false
|
109 |
+
},
|
110 |
+
"50265": {
|
111 |
+
"content": " ",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": true,
|
114 |
+
"rstrip": false,
|
115 |
+
"single_word": false,
|
116 |
+
"special": false
|
117 |
+
},
|
118 |
+
"50266": {
|
119 |
+
"content": " ",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": true,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false,
|
124 |
+
"special": false
|
125 |
+
},
|
126 |
+
"50267": {
|
127 |
+
"content": " ",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": true,
|
130 |
+
"rstrip": false,
|
131 |
+
"single_word": false,
|
132 |
+
"special": false
|
133 |
+
},
|
134 |
+
"50268": {
|
135 |
+
"content": " ",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": true,
|
138 |
+
"rstrip": false,
|
139 |
+
"single_word": false,
|
140 |
+
"special": false
|
141 |
+
},
|
142 |
+
"50269": {
|
143 |
+
"content": " ",
|
144 |
+
"lstrip": false,
|
145 |
+
"normalized": true,
|
146 |
+
"rstrip": false,
|
147 |
+
"single_word": false,
|
148 |
+
"special": false
|
149 |
+
},
|
150 |
+
"50270": {
|
151 |
+
"content": " ",
|
152 |
+
"lstrip": false,
|
153 |
+
"normalized": true,
|
154 |
+
"rstrip": false,
|
155 |
+
"single_word": false,
|
156 |
+
"special": false
|
157 |
+
},
|
158 |
+
"50271": {
|
159 |
+
"content": " ",
|
160 |
+
"lstrip": false,
|
161 |
+
"normalized": true,
|
162 |
+
"rstrip": false,
|
163 |
+
"single_word": false,
|
164 |
+
"special": false
|
165 |
+
},
|
166 |
+
"50272": {
|
167 |
+
"content": " ",
|
168 |
+
"lstrip": false,
|
169 |
+
"normalized": true,
|
170 |
+
"rstrip": false,
|
171 |
+
"single_word": false,
|
172 |
+
"special": false
|
173 |
+
},
|
174 |
+
"50273": {
|
175 |
+
"content": " ",
|
176 |
+
"lstrip": false,
|
177 |
+
"normalized": true,
|
178 |
+
"rstrip": false,
|
179 |
+
"single_word": false,
|
180 |
+
"special": false
|
181 |
+
},
|
182 |
+
"50274": {
|
183 |
+
"content": " ",
|
184 |
+
"lstrip": false,
|
185 |
+
"normalized": true,
|
186 |
+
"rstrip": false,
|
187 |
+
"single_word": false,
|
188 |
+
"special": false
|
189 |
+
},
|
190 |
+
"50275": {
|
191 |
+
"content": " ",
|
192 |
+
"lstrip": false,
|
193 |
+
"normalized": true,
|
194 |
+
"rstrip": false,
|
195 |
+
"single_word": false,
|
196 |
+
"special": false
|
197 |
+
},
|
198 |
+
"50276": {
|
199 |
+
"content": " ",
|
200 |
+
"lstrip": false,
|
201 |
+
"normalized": true,
|
202 |
+
"rstrip": false,
|
203 |
+
"single_word": false,
|
204 |
+
"special": false
|
205 |
+
}
|
206 |
+
},
|
207 |
+
"bos_token": "<|endoftext|>",
|
208 |
+
"clean_up_tokenization_spaces": false,
|
209 |
+
"eos_token": "<|endoftext|>",
|
210 |
+
"extra_special_tokens": {},
|
211 |
+
"model_max_length": 1000000000000000019884624838656,
|
212 |
+
"pad_token": "<|endoftext|>",
|
213 |
+
"tokenizer_class": "GPTNeoXTokenizer",
|
214 |
+
"unk_token": "<|endoftext|>"
|
215 |
+
}
|