Upload folder using huggingface_hub
Browse files- README.md +171 -0
- adapter_config.json +34 -0
- adapter_model.bin +3 -0
- checkpoint-132/README.md +202 -0
- checkpoint-132/adapter_config.json +34 -0
- checkpoint-132/adapter_model.safetensors +3 -0
- checkpoint-132/optimizer.pt +3 -0
- checkpoint-132/rng_state_0.pth +3 -0
- checkpoint-132/rng_state_1.pth +3 -0
- checkpoint-132/scheduler.pt +3 -0
- checkpoint-132/special_tokens_map.json +24 -0
- checkpoint-132/tokenizer.model +3 -0
- checkpoint-132/tokenizer_config.json +44 -0
- checkpoint-132/trainer_state.json +1009 -0
- checkpoint-132/training_args.bin +3 -0
- checkpoint-198/README.md +202 -0
- checkpoint-198/adapter_config.json +34 -0
- checkpoint-198/adapter_model.safetensors +3 -0
- checkpoint-198/optimizer.pt +3 -0
- checkpoint-198/rng_state_0.pth +3 -0
- checkpoint-198/rng_state_1.pth +3 -0
- checkpoint-198/scheduler.pt +3 -0
- checkpoint-198/special_tokens_map.json +24 -0
- checkpoint-198/tokenizer.model +3 -0
- checkpoint-198/tokenizer_config.json +44 -0
- checkpoint-198/trainer_state.json +1503 -0
- checkpoint-198/training_args.bin +3 -0
- checkpoint-66/README.md +202 -0
- checkpoint-66/adapter_config.json +34 -0
- checkpoint-66/adapter_model.safetensors +3 -0
- checkpoint-66/optimizer.pt +3 -0
- checkpoint-66/rng_state_0.pth +3 -0
- checkpoint-66/rng_state_1.pth +3 -0
- checkpoint-66/scheduler.pt +3 -0
- checkpoint-66/special_tokens_map.json +24 -0
- checkpoint-66/tokenizer.model +3 -0
- checkpoint-66/tokenizer_config.json +44 -0
- checkpoint-66/trainer_state.json +515 -0
- checkpoint-66/training_args.bin +3 -0
- config.json +41 -0
- runs/Apr04_09-49-49_mala/events.out.tfevents.1712195390.mala.189757.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
README.md
ADDED
@@ -0,0 +1,171 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
library_name: peft
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
base_model: mistralai/Mistral-7B-v0.1
|
7 |
+
model-index:
|
8 |
+
- name: home/yujia/home/CN_Hateful/trained_models/mistral/CN/toxi/1e-5/
|
9 |
+
results: []
|
10 |
+
---
|
11 |
+
|
12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
13 |
+
should probably proofread and complete it, then remove this comment. -->
|
14 |
+
|
15 |
+
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
|
16 |
+
<details><summary>See axolotl config</summary>
|
17 |
+
|
18 |
+
axolotl version: `0.4.0`
|
19 |
+
```yaml
|
20 |
+
base_model: mistralai/Mistral-7B-v0.1
|
21 |
+
model_type: MistralForCausalLM
|
22 |
+
tokenizer_type: LlamaTokenizer
|
23 |
+
|
24 |
+
load_in_8bit: true
|
25 |
+
load_in_4bit: false
|
26 |
+
strict: false
|
27 |
+
|
28 |
+
datasets:
|
29 |
+
# - path: mhenrichsen/alpaca_2k_test
|
30 |
+
# - path: /home/yujia/home/CN_Hateful/train_toxiCN.json
|
31 |
+
- path: /home/yujia/home/CN_Hateful/train_toxiCN_cn.json
|
32 |
+
# - path: /home/yujia/home/CN_Hateful/train.json
|
33 |
+
ds_type: json
|
34 |
+
type: alpaca
|
35 |
+
dataset_prepared_path: last_run_prepared
|
36 |
+
val_set_size: 0.1
|
37 |
+
# output_dir: /home/yujia/home/CN_Hateful/trained_models/mistral/toxi/1e-5/
|
38 |
+
output_dir: /home/yujia/home/CN_Hateful/trained_models/mistral/CN/toxi/1e-5/
|
39 |
+
# output_dir: /home/yujia/home/CN_Hateful/trained_models/mistral/cold/3e-5/
|
40 |
+
|
41 |
+
|
42 |
+
|
43 |
+
adapter: lora
|
44 |
+
lora_model_dir:
|
45 |
+
|
46 |
+
sequence_len: 256
|
47 |
+
sample_packing: true
|
48 |
+
pad_to_sequence_len: true
|
49 |
+
|
50 |
+
lora_r: 32
|
51 |
+
lora_alpha: 16
|
52 |
+
lora_dropout: 0.05
|
53 |
+
lora_target_linear: true
|
54 |
+
lora_fan_in_fan_out:
|
55 |
+
lora_target_modules:
|
56 |
+
- gate_proj
|
57 |
+
- down_proj
|
58 |
+
- up_proj
|
59 |
+
- q_proj
|
60 |
+
- v_proj
|
61 |
+
- k_proj
|
62 |
+
- o_proj
|
63 |
+
|
64 |
+
wandb_project:
|
65 |
+
wandb_entity:
|
66 |
+
wandb_watch:
|
67 |
+
wandb_name:
|
68 |
+
wandb_log_model:
|
69 |
+
|
70 |
+
gradient_accumulation_steps: 8
|
71 |
+
micro_batch_size: 4
|
72 |
+
num_epochs: 3
|
73 |
+
optimizer: adamw_bnb_8bit
|
74 |
+
lr_scheduler: cosine
|
75 |
+
learning_rate: 0.00001
|
76 |
+
|
77 |
+
train_on_inputs: false
|
78 |
+
group_by_length: false
|
79 |
+
bf16: auto
|
80 |
+
fp16:
|
81 |
+
tf32: false
|
82 |
+
|
83 |
+
gradient_checkpointing: true
|
84 |
+
early_stopping_patience:
|
85 |
+
resume_from_checkpoint:
|
86 |
+
local_rank:
|
87 |
+
logging_steps: 1
|
88 |
+
xformers_attention:
|
89 |
+
flash_attention: true
|
90 |
+
|
91 |
+
loss_watchdog_threshold: 5.0
|
92 |
+
loss_watchdog_patience: 3
|
93 |
+
|
94 |
+
warmup_steps: 10
|
95 |
+
evals_per_epoch: 4
|
96 |
+
eval_table_size:
|
97 |
+
eval_max_new_tokens: 128
|
98 |
+
saves_per_epoch: 1
|
99 |
+
debug:
|
100 |
+
deepspeed:
|
101 |
+
weight_decay: 0.0
|
102 |
+
fsdp:
|
103 |
+
fsdp_config:
|
104 |
+
special_tokens:
|
105 |
+
|
106 |
+
```
|
107 |
+
|
108 |
+
</details><br>
|
109 |
+
|
110 |
+
# home/yujia/home/CN_Hateful/trained_models/mistral/CN/toxi/1e-5/
|
111 |
+
|
112 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
|
113 |
+
It achieves the following results on the evaluation set:
|
114 |
+
- Loss: 0.0627
|
115 |
+
|
116 |
+
## Model description
|
117 |
+
|
118 |
+
More information needed
|
119 |
+
|
120 |
+
## Intended uses & limitations
|
121 |
+
|
122 |
+
More information needed
|
123 |
+
|
124 |
+
## Training and evaluation data
|
125 |
+
|
126 |
+
More information needed
|
127 |
+
|
128 |
+
## Training procedure
|
129 |
+
|
130 |
+
### Training hyperparameters
|
131 |
+
|
132 |
+
The following hyperparameters were used during training:
|
133 |
+
- learning_rate: 1e-05
|
134 |
+
- train_batch_size: 4
|
135 |
+
- eval_batch_size: 4
|
136 |
+
- seed: 42
|
137 |
+
- distributed_type: multi-GPU
|
138 |
+
- num_devices: 2
|
139 |
+
- gradient_accumulation_steps: 8
|
140 |
+
- total_train_batch_size: 64
|
141 |
+
- total_eval_batch_size: 8
|
142 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
143 |
+
- lr_scheduler_type: cosine
|
144 |
+
- lr_scheduler_warmup_steps: 10
|
145 |
+
- num_epochs: 3
|
146 |
+
|
147 |
+
### Training results
|
148 |
+
|
149 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
150 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
151 |
+
| 2.5188 | 0.01 | 1 | 2.5282 |
|
152 |
+
| 1.0047 | 0.25 | 17 | 0.8628 |
|
153 |
+
| 0.086 | 0.51 | 34 | 0.0862 |
|
154 |
+
| 0.0732 | 0.76 | 51 | 0.0753 |
|
155 |
+
| 0.0719 | 1.02 | 68 | 0.0753 |
|
156 |
+
| 0.0722 | 1.25 | 85 | 0.0680 |
|
157 |
+
| 0.0676 | 1.51 | 102 | 0.0666 |
|
158 |
+
| 0.068 | 1.76 | 119 | 0.0648 |
|
159 |
+
| 0.0562 | 2.02 | 136 | 0.0637 |
|
160 |
+
| 0.0674 | 2.25 | 153 | 0.0628 |
|
161 |
+
| 0.0611 | 2.51 | 170 | 0.0625 |
|
162 |
+
| 0.0536 | 2.76 | 187 | 0.0627 |
|
163 |
+
|
164 |
+
|
165 |
+
### Framework versions
|
166 |
+
|
167 |
+
- PEFT 0.10.0
|
168 |
+
- Transformers 4.40.0.dev0
|
169 |
+
- Pytorch 2.2.1+cu121
|
170 |
+
- Datasets 2.18.0
|
171 |
+
- Tokenizers 0.15.0
|
adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"gate_proj",
|
24 |
+
"down_proj",
|
25 |
+
"up_proj",
|
26 |
+
"k_proj",
|
27 |
+
"q_proj",
|
28 |
+
"o_proj",
|
29 |
+
"v_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5e9c53742dade340257822a74fcf3c3c29e983be237f0228ceeb13ba1027cad4
|
3 |
+
size 335706186
|
checkpoint-132/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: mistralai/Mistral-7B-v0.1
|
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 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.10.0
|
checkpoint-132/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"gate_proj",
|
24 |
+
"down_proj",
|
25 |
+
"up_proj",
|
26 |
+
"k_proj",
|
27 |
+
"q_proj",
|
28 |
+
"o_proj",
|
29 |
+
"v_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-132/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:da2f7026aee1954624a4d121a3034ababb94a9e0255936c4ebe0de69c430489c
|
3 |
+
size 335604696
|
checkpoint-132/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3302863f1cce911c286932f7680a84f90e57287d62d3bd66bf7afbda6431aa7d
|
3 |
+
size 168624724
|
checkpoint-132/rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4c0ada088704bd2a27d92f392ed3ba36174227fbdb773741e70b712e7821e04e
|
3 |
+
size 14512
|
checkpoint-132/rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:143beb2e0beeab66765d2e7979b31a8d5873e1e52fce9217ff7670399111cefc
|
3 |
+
size 14512
|
checkpoint-132/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:66291d042452696f9bc3d5ddeefa9641822fdfd15566ea8b675bc7f31f7bce2b
|
3 |
+
size 1064
|
checkpoint-132/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
checkpoint-132/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
checkpoint-132/tokenizer_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"additional_special_tokens": [],
|
32 |
+
"bos_token": "<s>",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 1000000000000000019884624838656,
|
37 |
+
"pad_token": "</s>",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false,
|
43 |
+
"use_fast": true
|
44 |
+
}
|
checkpoint-132/trainer_state.json
ADDED
@@ -0,0 +1,1009 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9570093457943925,
|
5 |
+
"eval_steps": 17,
|
6 |
+
"global_step": 132,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"grad_norm": 8.601767539978027,
|
14 |
+
"learning_rate": 1.0000000000000002e-06,
|
15 |
+
"loss": 2.5188,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.01,
|
20 |
+
"eval_loss": 2.5281636714935303,
|
21 |
+
"eval_runtime": 136.1276,
|
22 |
+
"eval_samples_per_second": 6.795,
|
23 |
+
"eval_steps_per_second": 0.852,
|
24 |
+
"step": 1
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.03,
|
28 |
+
"grad_norm": 8.70827865600586,
|
29 |
+
"learning_rate": 2.0000000000000003e-06,
|
30 |
+
"loss": 2.561,
|
31 |
+
"step": 2
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.04,
|
35 |
+
"grad_norm": 8.504729270935059,
|
36 |
+
"learning_rate": 3e-06,
|
37 |
+
"loss": 2.5392,
|
38 |
+
"step": 3
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.06,
|
42 |
+
"grad_norm": 8.70252513885498,
|
43 |
+
"learning_rate": 4.000000000000001e-06,
|
44 |
+
"loss": 2.5358,
|
45 |
+
"step": 4
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.07,
|
49 |
+
"grad_norm": 8.545235633850098,
|
50 |
+
"learning_rate": 5e-06,
|
51 |
+
"loss": 2.4953,
|
52 |
+
"step": 5
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.09,
|
56 |
+
"grad_norm": 8.594281196594238,
|
57 |
+
"learning_rate": 6e-06,
|
58 |
+
"loss": 2.5025,
|
59 |
+
"step": 6
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.1,
|
63 |
+
"grad_norm": 8.570807456970215,
|
64 |
+
"learning_rate": 7e-06,
|
65 |
+
"loss": 2.4483,
|
66 |
+
"step": 7
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.12,
|
70 |
+
"grad_norm": 8.201045036315918,
|
71 |
+
"learning_rate": 8.000000000000001e-06,
|
72 |
+
"loss": 2.3844,
|
73 |
+
"step": 8
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.13,
|
77 |
+
"grad_norm": 8.294769287109375,
|
78 |
+
"learning_rate": 9e-06,
|
79 |
+
"loss": 2.3132,
|
80 |
+
"step": 9
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.15,
|
84 |
+
"grad_norm": 7.825733661651611,
|
85 |
+
"learning_rate": 1e-05,
|
86 |
+
"loss": 2.2073,
|
87 |
+
"step": 10
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.16,
|
91 |
+
"grad_norm": 7.359045028686523,
|
92 |
+
"learning_rate": 9.999301905929286e-06,
|
93 |
+
"loss": 2.0469,
|
94 |
+
"step": 11
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.18,
|
98 |
+
"grad_norm": 6.876375198364258,
|
99 |
+
"learning_rate": 9.997207818651273e-06,
|
100 |
+
"loss": 1.8699,
|
101 |
+
"step": 12
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.19,
|
105 |
+
"grad_norm": 6.270627021789551,
|
106 |
+
"learning_rate": 9.99371832291393e-06,
|
107 |
+
"loss": 1.6649,
|
108 |
+
"step": 13
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.21,
|
112 |
+
"grad_norm": 5.742035388946533,
|
113 |
+
"learning_rate": 9.988834393115768e-06,
|
114 |
+
"loss": 1.4954,
|
115 |
+
"step": 14
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.22,
|
119 |
+
"grad_norm": 5.249215602874756,
|
120 |
+
"learning_rate": 9.982557393033758e-06,
|
121 |
+
"loss": 1.3214,
|
122 |
+
"step": 15
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.24,
|
126 |
+
"grad_norm": 4.818938732147217,
|
127 |
+
"learning_rate": 9.97488907544252e-06,
|
128 |
+
"loss": 1.1535,
|
129 |
+
"step": 16
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.25,
|
133 |
+
"grad_norm": 4.380295753479004,
|
134 |
+
"learning_rate": 9.965831581624872e-06,
|
135 |
+
"loss": 1.0047,
|
136 |
+
"step": 17
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.25,
|
140 |
+
"eval_loss": 0.8628284335136414,
|
141 |
+
"eval_runtime": 133.5823,
|
142 |
+
"eval_samples_per_second": 6.925,
|
143 |
+
"eval_steps_per_second": 0.868,
|
144 |
+
"step": 17
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.27,
|
148 |
+
"grad_norm": 3.99696683883667,
|
149 |
+
"learning_rate": 9.955387440773902e-06,
|
150 |
+
"loss": 0.8632,
|
151 |
+
"step": 18
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 0.28,
|
155 |
+
"grad_norm": 3.7503676414489746,
|
156 |
+
"learning_rate": 9.943559569286731e-06,
|
157 |
+
"loss": 0.7559,
|
158 |
+
"step": 19
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.3,
|
162 |
+
"grad_norm": 3.430863618850708,
|
163 |
+
"learning_rate": 9.930351269950144e-06,
|
164 |
+
"loss": 0.6444,
|
165 |
+
"step": 20
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.31,
|
169 |
+
"grad_norm": 3.25299072265625,
|
170 |
+
"learning_rate": 9.915766231018317e-06,
|
171 |
+
"loss": 0.5364,
|
172 |
+
"step": 21
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 0.33,
|
176 |
+
"grad_norm": 3.217674970626831,
|
177 |
+
"learning_rate": 9.899808525182935e-06,
|
178 |
+
"loss": 0.4766,
|
179 |
+
"step": 22
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.34,
|
183 |
+
"grad_norm": 3.2001354694366455,
|
184 |
+
"learning_rate": 9.882482608435924e-06,
|
185 |
+
"loss": 0.4038,
|
186 |
+
"step": 23
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.36,
|
190 |
+
"grad_norm": 3.011241912841797,
|
191 |
+
"learning_rate": 9.863793318825186e-06,
|
192 |
+
"loss": 0.3333,
|
193 |
+
"step": 24
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.37,
|
197 |
+
"grad_norm": 2.758089303970337,
|
198 |
+
"learning_rate": 9.843745875103628e-06,
|
199 |
+
"loss": 0.2752,
|
200 |
+
"step": 25
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.39,
|
204 |
+
"grad_norm": 1.914292812347412,
|
205 |
+
"learning_rate": 9.822345875271884e-06,
|
206 |
+
"loss": 0.2229,
|
207 |
+
"step": 26
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.4,
|
211 |
+
"grad_norm": 2.1877121925354004,
|
212 |
+
"learning_rate": 9.799599295015154e-06,
|
213 |
+
"loss": 0.1846,
|
214 |
+
"step": 27
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 0.42,
|
218 |
+
"grad_norm": 2.3617541790008545,
|
219 |
+
"learning_rate": 9.775512486034564e-06,
|
220 |
+
"loss": 0.1556,
|
221 |
+
"step": 28
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.43,
|
225 |
+
"grad_norm": 1.431768774986267,
|
226 |
+
"learning_rate": 9.75009217427352e-06,
|
227 |
+
"loss": 0.1279,
|
228 |
+
"step": 29
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 0.45,
|
232 |
+
"grad_norm": 0.7117260098457336,
|
233 |
+
"learning_rate": 9.723345458039595e-06,
|
234 |
+
"loss": 0.1061,
|
235 |
+
"step": 30
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.46,
|
239 |
+
"grad_norm": 0.45769569277763367,
|
240 |
+
"learning_rate": 9.695279806022391e-06,
|
241 |
+
"loss": 0.0987,
|
242 |
+
"step": 31
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.48,
|
246 |
+
"grad_norm": 0.2953682243824005,
|
247 |
+
"learning_rate": 9.665903055208013e-06,
|
248 |
+
"loss": 0.0919,
|
249 |
+
"step": 32
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.49,
|
253 |
+
"grad_norm": 0.17375054955482483,
|
254 |
+
"learning_rate": 9.635223408690688e-06,
|
255 |
+
"loss": 0.0854,
|
256 |
+
"step": 33
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 0.51,
|
260 |
+
"grad_norm": 0.11500216275453568,
|
261 |
+
"learning_rate": 9.603249433382145e-06,
|
262 |
+
"loss": 0.086,
|
263 |
+
"step": 34
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.51,
|
267 |
+
"eval_loss": 0.08624568581581116,
|
268 |
+
"eval_runtime": 132.1775,
|
269 |
+
"eval_samples_per_second": 6.998,
|
270 |
+
"eval_steps_per_second": 0.878,
|
271 |
+
"step": 34
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.52,
|
275 |
+
"grad_norm": 0.12646625936031342,
|
276 |
+
"learning_rate": 9.569990057619414e-06,
|
277 |
+
"loss": 0.0851,
|
278 |
+
"step": 35
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.54,
|
282 |
+
"grad_norm": 0.11912114918231964,
|
283 |
+
"learning_rate": 9.535454568671705e-06,
|
284 |
+
"loss": 0.0834,
|
285 |
+
"step": 36
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.55,
|
289 |
+
"grad_norm": 0.24543708562850952,
|
290 |
+
"learning_rate": 9.49965261014704e-06,
|
291 |
+
"loss": 0.0836,
|
292 |
+
"step": 37
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 0.57,
|
296 |
+
"grad_norm": 0.0936342254281044,
|
297 |
+
"learning_rate": 9.462594179299408e-06,
|
298 |
+
"loss": 0.0844,
|
299 |
+
"step": 38
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 0.58,
|
303 |
+
"grad_norm": 0.18341362476348877,
|
304 |
+
"learning_rate": 9.424289624237143e-06,
|
305 |
+
"loss": 0.0805,
|
306 |
+
"step": 39
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.6,
|
310 |
+
"grad_norm": 0.21815626323223114,
|
311 |
+
"learning_rate": 9.384749641033358e-06,
|
312 |
+
"loss": 0.0811,
|
313 |
+
"step": 40
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.61,
|
317 |
+
"grad_norm": 0.21489091217517853,
|
318 |
+
"learning_rate": 9.343985270739184e-06,
|
319 |
+
"loss": 0.0793,
|
320 |
+
"step": 41
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.63,
|
324 |
+
"grad_norm": 0.23281769454479218,
|
325 |
+
"learning_rate": 9.302007896300697e-06,
|
326 |
+
"loss": 0.0775,
|
327 |
+
"step": 42
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.64,
|
331 |
+
"grad_norm": 0.6911139488220215,
|
332 |
+
"learning_rate": 9.25882923938038e-06,
|
333 |
+
"loss": 0.0812,
|
334 |
+
"step": 43
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 0.66,
|
338 |
+
"grad_norm": 0.6087940335273743,
|
339 |
+
"learning_rate": 9.214461357083986e-06,
|
340 |
+
"loss": 0.0801,
|
341 |
+
"step": 44
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 0.67,
|
345 |
+
"grad_norm": 0.5599693059921265,
|
346 |
+
"learning_rate": 9.168916638593736e-06,
|
347 |
+
"loss": 0.0822,
|
348 |
+
"step": 45
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 0.69,
|
352 |
+
"grad_norm": 0.23726361989974976,
|
353 |
+
"learning_rate": 9.122207801708802e-06,
|
354 |
+
"loss": 0.0744,
|
355 |
+
"step": 46
|
356 |
+
},
|
357 |
+
{
|
358 |
+
"epoch": 0.7,
|
359 |
+
"grad_norm": 1.075922966003418,
|
360 |
+
"learning_rate": 9.074347889294017e-06,
|
361 |
+
"loss": 0.0824,
|
362 |
+
"step": 47
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.72,
|
366 |
+
"grad_norm": 0.49190425872802734,
|
367 |
+
"learning_rate": 9.025350265637816e-06,
|
368 |
+
"loss": 0.0784,
|
369 |
+
"step": 48
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.73,
|
373 |
+
"grad_norm": 0.8844243288040161,
|
374 |
+
"learning_rate": 8.975228612720415e-06,
|
375 |
+
"loss": 0.0722,
|
376 |
+
"step": 49
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 0.75,
|
380 |
+
"grad_norm": 1.2909235954284668,
|
381 |
+
"learning_rate": 8.923996926393306e-06,
|
382 |
+
"loss": 0.075,
|
383 |
+
"step": 50
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.76,
|
387 |
+
"grad_norm": 0.3661656975746155,
|
388 |
+
"learning_rate": 8.871669512471068e-06,
|
389 |
+
"loss": 0.0732,
|
390 |
+
"step": 51
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.76,
|
394 |
+
"eval_loss": 0.07530223578214645,
|
395 |
+
"eval_runtime": 133.0044,
|
396 |
+
"eval_samples_per_second": 6.955,
|
397 |
+
"eval_steps_per_second": 0.872,
|
398 |
+
"step": 51
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.78,
|
402 |
+
"grad_norm": 0.49425163865089417,
|
403 |
+
"learning_rate": 8.818260982736662e-06,
|
404 |
+
"loss": 0.07,
|
405 |
+
"step": 52
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.79,
|
409 |
+
"grad_norm": 0.9367341995239258,
|
410 |
+
"learning_rate": 8.763786250861258e-06,
|
411 |
+
"loss": 0.0819,
|
412 |
+
"step": 53
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"epoch": 0.81,
|
416 |
+
"grad_norm": 0.9425927400588989,
|
417 |
+
"learning_rate": 8.708260528239788e-06,
|
418 |
+
"loss": 0.0754,
|
419 |
+
"step": 54
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 0.82,
|
423 |
+
"grad_norm": 0.3247818052768707,
|
424 |
+
"learning_rate": 8.651699319743348e-06,
|
425 |
+
"loss": 0.0739,
|
426 |
+
"step": 55
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 0.84,
|
430 |
+
"grad_norm": 0.8091337084770203,
|
431 |
+
"learning_rate": 8.594118419389648e-06,
|
432 |
+
"loss": 0.0724,
|
433 |
+
"step": 56
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 0.85,
|
437 |
+
"grad_norm": 0.556105375289917,
|
438 |
+
"learning_rate": 8.535533905932739e-06,
|
439 |
+
"loss": 0.0733,
|
440 |
+
"step": 57
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.87,
|
444 |
+
"grad_norm": 0.9925010800361633,
|
445 |
+
"learning_rate": 8.475962138373212e-06,
|
446 |
+
"loss": 0.0761,
|
447 |
+
"step": 58
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 0.88,
|
451 |
+
"grad_norm": 0.32729703187942505,
|
452 |
+
"learning_rate": 8.415419751390155e-06,
|
453 |
+
"loss": 0.0694,
|
454 |
+
"step": 59
|
455 |
+
},
|
456 |
+
{
|
457 |
+
"epoch": 0.9,
|
458 |
+
"grad_norm": 0.2549174129962921,
|
459 |
+
"learning_rate": 8.353923650696119e-06,
|
460 |
+
"loss": 0.0672,
|
461 |
+
"step": 60
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 0.91,
|
465 |
+
"grad_norm": 0.2688353657722473,
|
466 |
+
"learning_rate": 8.291491008316409e-06,
|
467 |
+
"loss": 0.0694,
|
468 |
+
"step": 61
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 0.93,
|
472 |
+
"grad_norm": 0.38362765312194824,
|
473 |
+
"learning_rate": 8.228139257794012e-06,
|
474 |
+
"loss": 0.0671,
|
475 |
+
"step": 62
|
476 |
+
},
|
477 |
+
{
|
478 |
+
"epoch": 0.94,
|
479 |
+
"grad_norm": 0.8581087589263916,
|
480 |
+
"learning_rate": 8.163886089321493e-06,
|
481 |
+
"loss": 0.0745,
|
482 |
+
"step": 63
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.96,
|
486 |
+
"grad_norm": 0.5643619894981384,
|
487 |
+
"learning_rate": 8.098749444801226e-06,
|
488 |
+
"loss": 0.0681,
|
489 |
+
"step": 64
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.97,
|
493 |
+
"grad_norm": 0.637834906578064,
|
494 |
+
"learning_rate": 8.032747512835338e-06,
|
495 |
+
"loss": 0.0773,
|
496 |
+
"step": 65
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 0.99,
|
500 |
+
"grad_norm": 0.2533693313598633,
|
501 |
+
"learning_rate": 7.965898723646777e-06,
|
502 |
+
"loss": 0.0663,
|
503 |
+
"step": 66
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 1.0,
|
507 |
+
"grad_norm": 0.35648882389068604,
|
508 |
+
"learning_rate": 7.898221743932887e-06,
|
509 |
+
"loss": 0.0573,
|
510 |
+
"step": 67
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 1.02,
|
514 |
+
"grad_norm": 0.638164758682251,
|
515 |
+
"learning_rate": 7.829735471652978e-06,
|
516 |
+
"loss": 0.0719,
|
517 |
+
"step": 68
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"epoch": 1.02,
|
521 |
+
"eval_loss": 0.07532496750354767,
|
522 |
+
"eval_runtime": 133.6875,
|
523 |
+
"eval_samples_per_second": 6.919,
|
524 |
+
"eval_steps_per_second": 0.868,
|
525 |
+
"step": 68
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 1.01,
|
529 |
+
"grad_norm": 0.6950666308403015,
|
530 |
+
"learning_rate": 7.760459030751285e-06,
|
531 |
+
"loss": 0.0712,
|
532 |
+
"step": 69
|
533 |
+
},
|
534 |
+
{
|
535 |
+
"epoch": 1.03,
|
536 |
+
"grad_norm": 0.5866235494613647,
|
537 |
+
"learning_rate": 7.690411765816864e-06,
|
538 |
+
"loss": 0.0753,
|
539 |
+
"step": 70
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 1.04,
|
543 |
+
"grad_norm": 0.5796181559562683,
|
544 |
+
"learning_rate": 7.619613236681845e-06,
|
545 |
+
"loss": 0.0672,
|
546 |
+
"step": 71
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 1.06,
|
550 |
+
"grad_norm": 0.5313260555267334,
|
551 |
+
"learning_rate": 7.548083212959588e-06,
|
552 |
+
"loss": 0.0634,
|
553 |
+
"step": 72
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 1.07,
|
557 |
+
"grad_norm": 0.4373992681503296,
|
558 |
+
"learning_rate": 7.475841668524268e-06,
|
559 |
+
"loss": 0.0632,
|
560 |
+
"step": 73
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 1.09,
|
564 |
+
"grad_norm": 0.3541436195373535,
|
565 |
+
"learning_rate": 7.402908775933419e-06,
|
566 |
+
"loss": 0.0675,
|
567 |
+
"step": 74
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 1.1,
|
571 |
+
"grad_norm": 0.5151358842849731,
|
572 |
+
"learning_rate": 7.329304900794991e-06,
|
573 |
+
"loss": 0.066,
|
574 |
+
"step": 75
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 1.12,
|
578 |
+
"grad_norm": 0.6343135833740234,
|
579 |
+
"learning_rate": 7.25505059608051e-06,
|
580 |
+
"loss": 0.0676,
|
581 |
+
"step": 76
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 1.13,
|
585 |
+
"grad_norm": 0.6041606664657593,
|
586 |
+
"learning_rate": 7.180166596385915e-06,
|
587 |
+
"loss": 0.0659,
|
588 |
+
"step": 77
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 1.15,
|
592 |
+
"grad_norm": 0.5856900811195374,
|
593 |
+
"learning_rate": 7.104673812141676e-06,
|
594 |
+
"loss": 0.0585,
|
595 |
+
"step": 78
|
596 |
+
},
|
597 |
+
{
|
598 |
+
"epoch": 1.16,
|
599 |
+
"grad_norm": 0.2674119770526886,
|
600 |
+
"learning_rate": 7.028593323773819e-06,
|
601 |
+
"loss": 0.0688,
|
602 |
+
"step": 79
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 1.18,
|
606 |
+
"grad_norm": 0.5323411226272583,
|
607 |
+
"learning_rate": 6.9519463758174745e-06,
|
608 |
+
"loss": 0.0645,
|
609 |
+
"step": 80
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 1.19,
|
613 |
+
"grad_norm": 0.5299087166786194,
|
614 |
+
"learning_rate": 6.8747543709846064e-06,
|
615 |
+
"loss": 0.0631,
|
616 |
+
"step": 81
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 1.21,
|
620 |
+
"grad_norm": 1.1804003715515137,
|
621 |
+
"learning_rate": 6.797038864187564e-06,
|
622 |
+
"loss": 0.0813,
|
623 |
+
"step": 82
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 1.22,
|
627 |
+
"grad_norm": 1.129088044166565,
|
628 |
+
"learning_rate": 6.718821556520151e-06,
|
629 |
+
"loss": 0.0661,
|
630 |
+
"step": 83
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 1.24,
|
634 |
+
"grad_norm": 0.37926897406578064,
|
635 |
+
"learning_rate": 6.640124289197845e-06,
|
636 |
+
"loss": 0.0739,
|
637 |
+
"step": 84
|
638 |
+
},
|
639 |
+
{
|
640 |
+
"epoch": 1.25,
|
641 |
+
"grad_norm": 0.5506991744041443,
|
642 |
+
"learning_rate": 6.560969037458933e-06,
|
643 |
+
"loss": 0.0722,
|
644 |
+
"step": 85
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 1.25,
|
648 |
+
"eval_loss": 0.06798132508993149,
|
649 |
+
"eval_runtime": 131.6498,
|
650 |
+
"eval_samples_per_second": 7.026,
|
651 |
+
"eval_steps_per_second": 0.881,
|
652 |
+
"step": 85
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 1.27,
|
656 |
+
"grad_norm": 0.36365798115730286,
|
657 |
+
"learning_rate": 6.481377904428171e-06,
|
658 |
+
"loss": 0.0675,
|
659 |
+
"step": 86
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 1.28,
|
663 |
+
"grad_norm": 0.24918232858181,
|
664 |
+
"learning_rate": 6.401373114944781e-06,
|
665 |
+
"loss": 0.0654,
|
666 |
+
"step": 87
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 1.3,
|
670 |
+
"grad_norm": 0.32376477122306824,
|
671 |
+
"learning_rate": 6.3209770093564315e-06,
|
672 |
+
"loss": 0.0666,
|
673 |
+
"step": 88
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 1.31,
|
677 |
+
"grad_norm": 0.5324047207832336,
|
678 |
+
"learning_rate": 6.240212037280967e-06,
|
679 |
+
"loss": 0.0616,
|
680 |
+
"step": 89
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 1.33,
|
684 |
+
"grad_norm": 0.2454373985528946,
|
685 |
+
"learning_rate": 6.1591007513376425e-06,
|
686 |
+
"loss": 0.0705,
|
687 |
+
"step": 90
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 1.34,
|
691 |
+
"grad_norm": 0.5578957796096802,
|
692 |
+
"learning_rate": 6.077665800849568e-06,
|
693 |
+
"loss": 0.0783,
|
694 |
+
"step": 91
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 1.36,
|
698 |
+
"grad_norm": 0.475643515586853,
|
699 |
+
"learning_rate": 5.995929925519181e-06,
|
700 |
+
"loss": 0.0689,
|
701 |
+
"step": 92
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 1.37,
|
705 |
+
"grad_norm": 0.5447214841842651,
|
706 |
+
"learning_rate": 5.913915949078453e-06,
|
707 |
+
"loss": 0.0692,
|
708 |
+
"step": 93
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 1.39,
|
712 |
+
"grad_norm": 0.19609016180038452,
|
713 |
+
"learning_rate": 5.831646772915651e-06,
|
714 |
+
"loss": 0.0684,
|
715 |
+
"step": 94
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 1.4,
|
719 |
+
"grad_norm": 0.3513399362564087,
|
720 |
+
"learning_rate": 5.7491453696804075e-06,
|
721 |
+
"loss": 0.0606,
|
722 |
+
"step": 95
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 1.42,
|
726 |
+
"grad_norm": 0.5132963061332703,
|
727 |
+
"learning_rate": 5.666434776868895e-06,
|
728 |
+
"loss": 0.0618,
|
729 |
+
"step": 96
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 1.43,
|
733 |
+
"grad_norm": 0.3573090732097626,
|
734 |
+
"learning_rate": 5.583538090390882e-06,
|
735 |
+
"loss": 0.066,
|
736 |
+
"step": 97
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 1.45,
|
740 |
+
"grad_norm": 0.37191343307495117,
|
741 |
+
"learning_rate": 5.500478458120493e-06,
|
742 |
+
"loss": 0.0574,
|
743 |
+
"step": 98
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 1.46,
|
747 |
+
"grad_norm": 0.5762889385223389,
|
748 |
+
"learning_rate": 5.41727907343245e-06,
|
749 |
+
"loss": 0.0698,
|
750 |
+
"step": 99
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 1.48,
|
754 |
+
"grad_norm": 0.2511120140552521,
|
755 |
+
"learning_rate": 5.3339631687256085e-06,
|
756 |
+
"loss": 0.0642,
|
757 |
+
"step": 100
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 1.49,
|
761 |
+
"grad_norm": 0.5286504626274109,
|
762 |
+
"learning_rate": 5.250554008935596e-06,
|
763 |
+
"loss": 0.0702,
|
764 |
+
"step": 101
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.51,
|
768 |
+
"grad_norm": 0.283104807138443,
|
769 |
+
"learning_rate": 5.1670748850383734e-06,
|
770 |
+
"loss": 0.0676,
|
771 |
+
"step": 102
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 1.51,
|
775 |
+
"eval_loss": 0.06662092357873917,
|
776 |
+
"eval_runtime": 128.4351,
|
777 |
+
"eval_samples_per_second": 7.202,
|
778 |
+
"eval_steps_per_second": 0.903,
|
779 |
+
"step": 102
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 1.52,
|
783 |
+
"grad_norm": 0.3505866527557373,
|
784 |
+
"learning_rate": 5.083549107546505e-06,
|
785 |
+
"loss": 0.0749,
|
786 |
+
"step": 103
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 1.54,
|
790 |
+
"grad_norm": 0.4083852469921112,
|
791 |
+
"learning_rate": 5e-06,
|
792 |
+
"loss": 0.0683,
|
793 |
+
"step": 104
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 1.55,
|
797 |
+
"grad_norm": 0.6204113364219666,
|
798 |
+
"learning_rate": 4.916450892453495e-06,
|
799 |
+
"loss": 0.0579,
|
800 |
+
"step": 105
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.57,
|
804 |
+
"grad_norm": 0.2663183808326721,
|
805 |
+
"learning_rate": 4.832925114961629e-06,
|
806 |
+
"loss": 0.0606,
|
807 |
+
"step": 106
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 1.58,
|
811 |
+
"grad_norm": 0.5618534684181213,
|
812 |
+
"learning_rate": 4.7494459910644044e-06,
|
813 |
+
"loss": 0.0702,
|
814 |
+
"step": 107
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 1.6,
|
818 |
+
"grad_norm": 0.5477017760276794,
|
819 |
+
"learning_rate": 4.666036831274392e-06,
|
820 |
+
"loss": 0.0717,
|
821 |
+
"step": 108
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 1.61,
|
825 |
+
"grad_norm": 0.5102267265319824,
|
826 |
+
"learning_rate": 4.582720926567552e-06,
|
827 |
+
"loss": 0.0703,
|
828 |
+
"step": 109
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 1.63,
|
832 |
+
"grad_norm": 0.2536521255970001,
|
833 |
+
"learning_rate": 4.499521541879508e-06,
|
834 |
+
"loss": 0.0653,
|
835 |
+
"step": 110
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 1.64,
|
839 |
+
"grad_norm": 0.3182464838027954,
|
840 |
+
"learning_rate": 4.416461909609119e-06,
|
841 |
+
"loss": 0.068,
|
842 |
+
"step": 111
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 1.66,
|
846 |
+
"grad_norm": 0.2570602595806122,
|
847 |
+
"learning_rate": 4.333565223131107e-06,
|
848 |
+
"loss": 0.0636,
|
849 |
+
"step": 112
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 1.67,
|
853 |
+
"grad_norm": 0.1940167397260666,
|
854 |
+
"learning_rate": 4.250854630319593e-06,
|
855 |
+
"loss": 0.0692,
|
856 |
+
"step": 113
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 1.69,
|
860 |
+
"grad_norm": 0.33302024006843567,
|
861 |
+
"learning_rate": 4.1683532270843505e-06,
|
862 |
+
"loss": 0.062,
|
863 |
+
"step": 114
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 1.7,
|
867 |
+
"grad_norm": 0.26795655488967896,
|
868 |
+
"learning_rate": 4.08608405092155e-06,
|
869 |
+
"loss": 0.0629,
|
870 |
+
"step": 115
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 1.72,
|
874 |
+
"grad_norm": 0.5258805751800537,
|
875 |
+
"learning_rate": 4.004070074480821e-06,
|
876 |
+
"loss": 0.0634,
|
877 |
+
"step": 116
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 1.73,
|
881 |
+
"grad_norm": 0.2478051334619522,
|
882 |
+
"learning_rate": 3.922334199150433e-06,
|
883 |
+
"loss": 0.0675,
|
884 |
+
"step": 117
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 1.75,
|
888 |
+
"grad_norm": 0.30332913994789124,
|
889 |
+
"learning_rate": 3.840899248662358e-06,
|
890 |
+
"loss": 0.063,
|
891 |
+
"step": 118
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 1.76,
|
895 |
+
"grad_norm": 0.21814480423927307,
|
896 |
+
"learning_rate": 3.7597879627190337e-06,
|
897 |
+
"loss": 0.068,
|
898 |
+
"step": 119
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 1.76,
|
902 |
+
"eval_loss": 0.06482138484716415,
|
903 |
+
"eval_runtime": 126.2918,
|
904 |
+
"eval_samples_per_second": 7.324,
|
905 |
+
"eval_steps_per_second": 0.919,
|
906 |
+
"step": 119
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 1.78,
|
910 |
+
"grad_norm": 0.27936533093452454,
|
911 |
+
"learning_rate": 3.6790229906435706e-06,
|
912 |
+
"loss": 0.065,
|
913 |
+
"step": 120
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 1.79,
|
917 |
+
"grad_norm": 0.2364480048418045,
|
918 |
+
"learning_rate": 3.598626885055219e-06,
|
919 |
+
"loss": 0.0672,
|
920 |
+
"step": 121
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 1.81,
|
924 |
+
"grad_norm": 0.32356905937194824,
|
925 |
+
"learning_rate": 3.518622095571831e-06,
|
926 |
+
"loss": 0.065,
|
927 |
+
"step": 122
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 1.82,
|
931 |
+
"grad_norm": 0.24160273373126984,
|
932 |
+
"learning_rate": 3.439030962541069e-06,
|
933 |
+
"loss": 0.0646,
|
934 |
+
"step": 123
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 1.84,
|
938 |
+
"grad_norm": 0.26129576563835144,
|
939 |
+
"learning_rate": 3.3598757108021546e-06,
|
940 |
+
"loss": 0.064,
|
941 |
+
"step": 124
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 1.85,
|
945 |
+
"grad_norm": 0.24441897869110107,
|
946 |
+
"learning_rate": 3.281178443479852e-06,
|
947 |
+
"loss": 0.0525,
|
948 |
+
"step": 125
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 1.87,
|
952 |
+
"grad_norm": 0.23377354443073273,
|
953 |
+
"learning_rate": 3.202961135812437e-06,
|
954 |
+
"loss": 0.0592,
|
955 |
+
"step": 126
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"epoch": 1.88,
|
959 |
+
"grad_norm": 0.3297436833381653,
|
960 |
+
"learning_rate": 3.1252456290153952e-06,
|
961 |
+
"loss": 0.0625,
|
962 |
+
"step": 127
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 1.9,
|
966 |
+
"grad_norm": 0.7371227145195007,
|
967 |
+
"learning_rate": 3.0480536241825263e-06,
|
968 |
+
"loss": 0.0644,
|
969 |
+
"step": 128
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 1.91,
|
973 |
+
"grad_norm": 0.46529266238212585,
|
974 |
+
"learning_rate": 2.9714066762261825e-06,
|
975 |
+
"loss": 0.0641,
|
976 |
+
"step": 129
|
977 |
+
},
|
978 |
+
{
|
979 |
+
"epoch": 1.93,
|
980 |
+
"grad_norm": 0.5547051429748535,
|
981 |
+
"learning_rate": 2.8953261878583263e-06,
|
982 |
+
"loss": 0.0747,
|
983 |
+
"step": 130
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 1.94,
|
987 |
+
"grad_norm": 0.3253116011619568,
|
988 |
+
"learning_rate": 2.8198334036140873e-06,
|
989 |
+
"loss": 0.0709,
|
990 |
+
"step": 131
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 1.96,
|
994 |
+
"grad_norm": 0.26438066363334656,
|
995 |
+
"learning_rate": 2.74494940391949e-06,
|
996 |
+
"loss": 0.0651,
|
997 |
+
"step": 132
|
998 |
+
}
|
999 |
+
],
|
1000 |
+
"logging_steps": 1,
|
1001 |
+
"max_steps": 198,
|
1002 |
+
"num_input_tokens_seen": 0,
|
1003 |
+
"num_train_epochs": 3,
|
1004 |
+
"save_steps": 66,
|
1005 |
+
"total_flos": 9.335735208168653e+16,
|
1006 |
+
"train_batch_size": 4,
|
1007 |
+
"trial_name": null,
|
1008 |
+
"trial_params": null
|
1009 |
+
}
|
checkpoint-132/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c3aa8a6641a3601e0e6938116d17cd8cd3d398e0c12208d120adf3e793eb3f1a
|
3 |
+
size 5752
|
checkpoint-198/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: mistralai/Mistral-7B-v0.1
|
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 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.10.0
|
checkpoint-198/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"gate_proj",
|
24 |
+
"down_proj",
|
25 |
+
"up_proj",
|
26 |
+
"k_proj",
|
27 |
+
"q_proj",
|
28 |
+
"o_proj",
|
29 |
+
"v_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-198/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8295242790c22cec577be324c71ccb9f3ff63a80c90fd31ed9b6954aebf186ca
|
3 |
+
size 335604696
|
checkpoint-198/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:58450e32d33998679616617fb93e3596329afc890b670205ca86a16a625aa292
|
3 |
+
size 168624724
|
checkpoint-198/rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:235cc0bb2525f99c586faca867bf75ca4a9696902b1555023e9c619f8b220ca8
|
3 |
+
size 14512
|
checkpoint-198/rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e1af87ed6fbb43056a85d0f67c4d0e7ce57477197352fd3ab757e709bfab7ac9
|
3 |
+
size 14512
|
checkpoint-198/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:165f5f16c799555d565b8431f95f01fc4c54f4d825a78bf3b187f60ed59e36fc
|
3 |
+
size 1064
|
checkpoint-198/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
checkpoint-198/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
checkpoint-198/tokenizer_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"additional_special_tokens": [],
|
32 |
+
"bos_token": "<s>",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 1000000000000000019884624838656,
|
37 |
+
"pad_token": "</s>",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false,
|
43 |
+
"use_fast": true
|
44 |
+
}
|
checkpoint-198/trainer_state.json
ADDED
@@ -0,0 +1,1503 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.925233644859813,
|
5 |
+
"eval_steps": 17,
|
6 |
+
"global_step": 198,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"grad_norm": 8.601767539978027,
|
14 |
+
"learning_rate": 1.0000000000000002e-06,
|
15 |
+
"loss": 2.5188,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.01,
|
20 |
+
"eval_loss": 2.5281636714935303,
|
21 |
+
"eval_runtime": 136.1276,
|
22 |
+
"eval_samples_per_second": 6.795,
|
23 |
+
"eval_steps_per_second": 0.852,
|
24 |
+
"step": 1
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.03,
|
28 |
+
"grad_norm": 8.70827865600586,
|
29 |
+
"learning_rate": 2.0000000000000003e-06,
|
30 |
+
"loss": 2.561,
|
31 |
+
"step": 2
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.04,
|
35 |
+
"grad_norm": 8.504729270935059,
|
36 |
+
"learning_rate": 3e-06,
|
37 |
+
"loss": 2.5392,
|
38 |
+
"step": 3
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.06,
|
42 |
+
"grad_norm": 8.70252513885498,
|
43 |
+
"learning_rate": 4.000000000000001e-06,
|
44 |
+
"loss": 2.5358,
|
45 |
+
"step": 4
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.07,
|
49 |
+
"grad_norm": 8.545235633850098,
|
50 |
+
"learning_rate": 5e-06,
|
51 |
+
"loss": 2.4953,
|
52 |
+
"step": 5
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.09,
|
56 |
+
"grad_norm": 8.594281196594238,
|
57 |
+
"learning_rate": 6e-06,
|
58 |
+
"loss": 2.5025,
|
59 |
+
"step": 6
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.1,
|
63 |
+
"grad_norm": 8.570807456970215,
|
64 |
+
"learning_rate": 7e-06,
|
65 |
+
"loss": 2.4483,
|
66 |
+
"step": 7
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.12,
|
70 |
+
"grad_norm": 8.201045036315918,
|
71 |
+
"learning_rate": 8.000000000000001e-06,
|
72 |
+
"loss": 2.3844,
|
73 |
+
"step": 8
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.13,
|
77 |
+
"grad_norm": 8.294769287109375,
|
78 |
+
"learning_rate": 9e-06,
|
79 |
+
"loss": 2.3132,
|
80 |
+
"step": 9
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.15,
|
84 |
+
"grad_norm": 7.825733661651611,
|
85 |
+
"learning_rate": 1e-05,
|
86 |
+
"loss": 2.2073,
|
87 |
+
"step": 10
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.16,
|
91 |
+
"grad_norm": 7.359045028686523,
|
92 |
+
"learning_rate": 9.999301905929286e-06,
|
93 |
+
"loss": 2.0469,
|
94 |
+
"step": 11
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.18,
|
98 |
+
"grad_norm": 6.876375198364258,
|
99 |
+
"learning_rate": 9.997207818651273e-06,
|
100 |
+
"loss": 1.8699,
|
101 |
+
"step": 12
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.19,
|
105 |
+
"grad_norm": 6.270627021789551,
|
106 |
+
"learning_rate": 9.99371832291393e-06,
|
107 |
+
"loss": 1.6649,
|
108 |
+
"step": 13
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.21,
|
112 |
+
"grad_norm": 5.742035388946533,
|
113 |
+
"learning_rate": 9.988834393115768e-06,
|
114 |
+
"loss": 1.4954,
|
115 |
+
"step": 14
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.22,
|
119 |
+
"grad_norm": 5.249215602874756,
|
120 |
+
"learning_rate": 9.982557393033758e-06,
|
121 |
+
"loss": 1.3214,
|
122 |
+
"step": 15
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.24,
|
126 |
+
"grad_norm": 4.818938732147217,
|
127 |
+
"learning_rate": 9.97488907544252e-06,
|
128 |
+
"loss": 1.1535,
|
129 |
+
"step": 16
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.25,
|
133 |
+
"grad_norm": 4.380295753479004,
|
134 |
+
"learning_rate": 9.965831581624872e-06,
|
135 |
+
"loss": 1.0047,
|
136 |
+
"step": 17
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.25,
|
140 |
+
"eval_loss": 0.8628284335136414,
|
141 |
+
"eval_runtime": 133.5823,
|
142 |
+
"eval_samples_per_second": 6.925,
|
143 |
+
"eval_steps_per_second": 0.868,
|
144 |
+
"step": 17
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.27,
|
148 |
+
"grad_norm": 3.99696683883667,
|
149 |
+
"learning_rate": 9.955387440773902e-06,
|
150 |
+
"loss": 0.8632,
|
151 |
+
"step": 18
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 0.28,
|
155 |
+
"grad_norm": 3.7503676414489746,
|
156 |
+
"learning_rate": 9.943559569286731e-06,
|
157 |
+
"loss": 0.7559,
|
158 |
+
"step": 19
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.3,
|
162 |
+
"grad_norm": 3.430863618850708,
|
163 |
+
"learning_rate": 9.930351269950144e-06,
|
164 |
+
"loss": 0.6444,
|
165 |
+
"step": 20
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.31,
|
169 |
+
"grad_norm": 3.25299072265625,
|
170 |
+
"learning_rate": 9.915766231018317e-06,
|
171 |
+
"loss": 0.5364,
|
172 |
+
"step": 21
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 0.33,
|
176 |
+
"grad_norm": 3.217674970626831,
|
177 |
+
"learning_rate": 9.899808525182935e-06,
|
178 |
+
"loss": 0.4766,
|
179 |
+
"step": 22
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.34,
|
183 |
+
"grad_norm": 3.2001354694366455,
|
184 |
+
"learning_rate": 9.882482608435924e-06,
|
185 |
+
"loss": 0.4038,
|
186 |
+
"step": 23
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.36,
|
190 |
+
"grad_norm": 3.011241912841797,
|
191 |
+
"learning_rate": 9.863793318825186e-06,
|
192 |
+
"loss": 0.3333,
|
193 |
+
"step": 24
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.37,
|
197 |
+
"grad_norm": 2.758089303970337,
|
198 |
+
"learning_rate": 9.843745875103628e-06,
|
199 |
+
"loss": 0.2752,
|
200 |
+
"step": 25
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.39,
|
204 |
+
"grad_norm": 1.914292812347412,
|
205 |
+
"learning_rate": 9.822345875271884e-06,
|
206 |
+
"loss": 0.2229,
|
207 |
+
"step": 26
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.4,
|
211 |
+
"grad_norm": 2.1877121925354004,
|
212 |
+
"learning_rate": 9.799599295015154e-06,
|
213 |
+
"loss": 0.1846,
|
214 |
+
"step": 27
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 0.42,
|
218 |
+
"grad_norm": 2.3617541790008545,
|
219 |
+
"learning_rate": 9.775512486034564e-06,
|
220 |
+
"loss": 0.1556,
|
221 |
+
"step": 28
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.43,
|
225 |
+
"grad_norm": 1.431768774986267,
|
226 |
+
"learning_rate": 9.75009217427352e-06,
|
227 |
+
"loss": 0.1279,
|
228 |
+
"step": 29
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 0.45,
|
232 |
+
"grad_norm": 0.7117260098457336,
|
233 |
+
"learning_rate": 9.723345458039595e-06,
|
234 |
+
"loss": 0.1061,
|
235 |
+
"step": 30
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.46,
|
239 |
+
"grad_norm": 0.45769569277763367,
|
240 |
+
"learning_rate": 9.695279806022391e-06,
|
241 |
+
"loss": 0.0987,
|
242 |
+
"step": 31
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.48,
|
246 |
+
"grad_norm": 0.2953682243824005,
|
247 |
+
"learning_rate": 9.665903055208013e-06,
|
248 |
+
"loss": 0.0919,
|
249 |
+
"step": 32
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.49,
|
253 |
+
"grad_norm": 0.17375054955482483,
|
254 |
+
"learning_rate": 9.635223408690688e-06,
|
255 |
+
"loss": 0.0854,
|
256 |
+
"step": 33
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 0.51,
|
260 |
+
"grad_norm": 0.11500216275453568,
|
261 |
+
"learning_rate": 9.603249433382145e-06,
|
262 |
+
"loss": 0.086,
|
263 |
+
"step": 34
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.51,
|
267 |
+
"eval_loss": 0.08624568581581116,
|
268 |
+
"eval_runtime": 132.1775,
|
269 |
+
"eval_samples_per_second": 6.998,
|
270 |
+
"eval_steps_per_second": 0.878,
|
271 |
+
"step": 34
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.52,
|
275 |
+
"grad_norm": 0.12646625936031342,
|
276 |
+
"learning_rate": 9.569990057619414e-06,
|
277 |
+
"loss": 0.0851,
|
278 |
+
"step": 35
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.54,
|
282 |
+
"grad_norm": 0.11912114918231964,
|
283 |
+
"learning_rate": 9.535454568671705e-06,
|
284 |
+
"loss": 0.0834,
|
285 |
+
"step": 36
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.55,
|
289 |
+
"grad_norm": 0.24543708562850952,
|
290 |
+
"learning_rate": 9.49965261014704e-06,
|
291 |
+
"loss": 0.0836,
|
292 |
+
"step": 37
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 0.57,
|
296 |
+
"grad_norm": 0.0936342254281044,
|
297 |
+
"learning_rate": 9.462594179299408e-06,
|
298 |
+
"loss": 0.0844,
|
299 |
+
"step": 38
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 0.58,
|
303 |
+
"grad_norm": 0.18341362476348877,
|
304 |
+
"learning_rate": 9.424289624237143e-06,
|
305 |
+
"loss": 0.0805,
|
306 |
+
"step": 39
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.6,
|
310 |
+
"grad_norm": 0.21815626323223114,
|
311 |
+
"learning_rate": 9.384749641033358e-06,
|
312 |
+
"loss": 0.0811,
|
313 |
+
"step": 40
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.61,
|
317 |
+
"grad_norm": 0.21489091217517853,
|
318 |
+
"learning_rate": 9.343985270739184e-06,
|
319 |
+
"loss": 0.0793,
|
320 |
+
"step": 41
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.63,
|
324 |
+
"grad_norm": 0.23281769454479218,
|
325 |
+
"learning_rate": 9.302007896300697e-06,
|
326 |
+
"loss": 0.0775,
|
327 |
+
"step": 42
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.64,
|
331 |
+
"grad_norm": 0.6911139488220215,
|
332 |
+
"learning_rate": 9.25882923938038e-06,
|
333 |
+
"loss": 0.0812,
|
334 |
+
"step": 43
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 0.66,
|
338 |
+
"grad_norm": 0.6087940335273743,
|
339 |
+
"learning_rate": 9.214461357083986e-06,
|
340 |
+
"loss": 0.0801,
|
341 |
+
"step": 44
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 0.67,
|
345 |
+
"grad_norm": 0.5599693059921265,
|
346 |
+
"learning_rate": 9.168916638593736e-06,
|
347 |
+
"loss": 0.0822,
|
348 |
+
"step": 45
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 0.69,
|
352 |
+
"grad_norm": 0.23726361989974976,
|
353 |
+
"learning_rate": 9.122207801708802e-06,
|
354 |
+
"loss": 0.0744,
|
355 |
+
"step": 46
|
356 |
+
},
|
357 |
+
{
|
358 |
+
"epoch": 0.7,
|
359 |
+
"grad_norm": 1.075922966003418,
|
360 |
+
"learning_rate": 9.074347889294017e-06,
|
361 |
+
"loss": 0.0824,
|
362 |
+
"step": 47
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.72,
|
366 |
+
"grad_norm": 0.49190425872802734,
|
367 |
+
"learning_rate": 9.025350265637816e-06,
|
368 |
+
"loss": 0.0784,
|
369 |
+
"step": 48
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.73,
|
373 |
+
"grad_norm": 0.8844243288040161,
|
374 |
+
"learning_rate": 8.975228612720415e-06,
|
375 |
+
"loss": 0.0722,
|
376 |
+
"step": 49
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 0.75,
|
380 |
+
"grad_norm": 1.2909235954284668,
|
381 |
+
"learning_rate": 8.923996926393306e-06,
|
382 |
+
"loss": 0.075,
|
383 |
+
"step": 50
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.76,
|
387 |
+
"grad_norm": 0.3661656975746155,
|
388 |
+
"learning_rate": 8.871669512471068e-06,
|
389 |
+
"loss": 0.0732,
|
390 |
+
"step": 51
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.76,
|
394 |
+
"eval_loss": 0.07530223578214645,
|
395 |
+
"eval_runtime": 133.0044,
|
396 |
+
"eval_samples_per_second": 6.955,
|
397 |
+
"eval_steps_per_second": 0.872,
|
398 |
+
"step": 51
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.78,
|
402 |
+
"grad_norm": 0.49425163865089417,
|
403 |
+
"learning_rate": 8.818260982736662e-06,
|
404 |
+
"loss": 0.07,
|
405 |
+
"step": 52
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.79,
|
409 |
+
"grad_norm": 0.9367341995239258,
|
410 |
+
"learning_rate": 8.763786250861258e-06,
|
411 |
+
"loss": 0.0819,
|
412 |
+
"step": 53
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"epoch": 0.81,
|
416 |
+
"grad_norm": 0.9425927400588989,
|
417 |
+
"learning_rate": 8.708260528239788e-06,
|
418 |
+
"loss": 0.0754,
|
419 |
+
"step": 54
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 0.82,
|
423 |
+
"grad_norm": 0.3247818052768707,
|
424 |
+
"learning_rate": 8.651699319743348e-06,
|
425 |
+
"loss": 0.0739,
|
426 |
+
"step": 55
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 0.84,
|
430 |
+
"grad_norm": 0.8091337084770203,
|
431 |
+
"learning_rate": 8.594118419389648e-06,
|
432 |
+
"loss": 0.0724,
|
433 |
+
"step": 56
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 0.85,
|
437 |
+
"grad_norm": 0.556105375289917,
|
438 |
+
"learning_rate": 8.535533905932739e-06,
|
439 |
+
"loss": 0.0733,
|
440 |
+
"step": 57
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.87,
|
444 |
+
"grad_norm": 0.9925010800361633,
|
445 |
+
"learning_rate": 8.475962138373212e-06,
|
446 |
+
"loss": 0.0761,
|
447 |
+
"step": 58
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 0.88,
|
451 |
+
"grad_norm": 0.32729703187942505,
|
452 |
+
"learning_rate": 8.415419751390155e-06,
|
453 |
+
"loss": 0.0694,
|
454 |
+
"step": 59
|
455 |
+
},
|
456 |
+
{
|
457 |
+
"epoch": 0.9,
|
458 |
+
"grad_norm": 0.2549174129962921,
|
459 |
+
"learning_rate": 8.353923650696119e-06,
|
460 |
+
"loss": 0.0672,
|
461 |
+
"step": 60
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 0.91,
|
465 |
+
"grad_norm": 0.2688353657722473,
|
466 |
+
"learning_rate": 8.291491008316409e-06,
|
467 |
+
"loss": 0.0694,
|
468 |
+
"step": 61
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 0.93,
|
472 |
+
"grad_norm": 0.38362765312194824,
|
473 |
+
"learning_rate": 8.228139257794012e-06,
|
474 |
+
"loss": 0.0671,
|
475 |
+
"step": 62
|
476 |
+
},
|
477 |
+
{
|
478 |
+
"epoch": 0.94,
|
479 |
+
"grad_norm": 0.8581087589263916,
|
480 |
+
"learning_rate": 8.163886089321493e-06,
|
481 |
+
"loss": 0.0745,
|
482 |
+
"step": 63
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.96,
|
486 |
+
"grad_norm": 0.5643619894981384,
|
487 |
+
"learning_rate": 8.098749444801226e-06,
|
488 |
+
"loss": 0.0681,
|
489 |
+
"step": 64
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.97,
|
493 |
+
"grad_norm": 0.637834906578064,
|
494 |
+
"learning_rate": 8.032747512835338e-06,
|
495 |
+
"loss": 0.0773,
|
496 |
+
"step": 65
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 0.99,
|
500 |
+
"grad_norm": 0.2533693313598633,
|
501 |
+
"learning_rate": 7.965898723646777e-06,
|
502 |
+
"loss": 0.0663,
|
503 |
+
"step": 66
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 1.0,
|
507 |
+
"grad_norm": 0.35648882389068604,
|
508 |
+
"learning_rate": 7.898221743932887e-06,
|
509 |
+
"loss": 0.0573,
|
510 |
+
"step": 67
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 1.02,
|
514 |
+
"grad_norm": 0.638164758682251,
|
515 |
+
"learning_rate": 7.829735471652978e-06,
|
516 |
+
"loss": 0.0719,
|
517 |
+
"step": 68
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"epoch": 1.02,
|
521 |
+
"eval_loss": 0.07532496750354767,
|
522 |
+
"eval_runtime": 133.6875,
|
523 |
+
"eval_samples_per_second": 6.919,
|
524 |
+
"eval_steps_per_second": 0.868,
|
525 |
+
"step": 68
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 1.01,
|
529 |
+
"grad_norm": 0.6950666308403015,
|
530 |
+
"learning_rate": 7.760459030751285e-06,
|
531 |
+
"loss": 0.0712,
|
532 |
+
"step": 69
|
533 |
+
},
|
534 |
+
{
|
535 |
+
"epoch": 1.03,
|
536 |
+
"grad_norm": 0.5866235494613647,
|
537 |
+
"learning_rate": 7.690411765816864e-06,
|
538 |
+
"loss": 0.0753,
|
539 |
+
"step": 70
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 1.04,
|
543 |
+
"grad_norm": 0.5796181559562683,
|
544 |
+
"learning_rate": 7.619613236681845e-06,
|
545 |
+
"loss": 0.0672,
|
546 |
+
"step": 71
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 1.06,
|
550 |
+
"grad_norm": 0.5313260555267334,
|
551 |
+
"learning_rate": 7.548083212959588e-06,
|
552 |
+
"loss": 0.0634,
|
553 |
+
"step": 72
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 1.07,
|
557 |
+
"grad_norm": 0.4373992681503296,
|
558 |
+
"learning_rate": 7.475841668524268e-06,
|
559 |
+
"loss": 0.0632,
|
560 |
+
"step": 73
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 1.09,
|
564 |
+
"grad_norm": 0.3541436195373535,
|
565 |
+
"learning_rate": 7.402908775933419e-06,
|
566 |
+
"loss": 0.0675,
|
567 |
+
"step": 74
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 1.1,
|
571 |
+
"grad_norm": 0.5151358842849731,
|
572 |
+
"learning_rate": 7.329304900794991e-06,
|
573 |
+
"loss": 0.066,
|
574 |
+
"step": 75
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 1.12,
|
578 |
+
"grad_norm": 0.6343135833740234,
|
579 |
+
"learning_rate": 7.25505059608051e-06,
|
580 |
+
"loss": 0.0676,
|
581 |
+
"step": 76
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 1.13,
|
585 |
+
"grad_norm": 0.6041606664657593,
|
586 |
+
"learning_rate": 7.180166596385915e-06,
|
587 |
+
"loss": 0.0659,
|
588 |
+
"step": 77
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 1.15,
|
592 |
+
"grad_norm": 0.5856900811195374,
|
593 |
+
"learning_rate": 7.104673812141676e-06,
|
594 |
+
"loss": 0.0585,
|
595 |
+
"step": 78
|
596 |
+
},
|
597 |
+
{
|
598 |
+
"epoch": 1.16,
|
599 |
+
"grad_norm": 0.2674119770526886,
|
600 |
+
"learning_rate": 7.028593323773819e-06,
|
601 |
+
"loss": 0.0688,
|
602 |
+
"step": 79
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 1.18,
|
606 |
+
"grad_norm": 0.5323411226272583,
|
607 |
+
"learning_rate": 6.9519463758174745e-06,
|
608 |
+
"loss": 0.0645,
|
609 |
+
"step": 80
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 1.19,
|
613 |
+
"grad_norm": 0.5299087166786194,
|
614 |
+
"learning_rate": 6.8747543709846064e-06,
|
615 |
+
"loss": 0.0631,
|
616 |
+
"step": 81
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 1.21,
|
620 |
+
"grad_norm": 1.1804003715515137,
|
621 |
+
"learning_rate": 6.797038864187564e-06,
|
622 |
+
"loss": 0.0813,
|
623 |
+
"step": 82
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 1.22,
|
627 |
+
"grad_norm": 1.129088044166565,
|
628 |
+
"learning_rate": 6.718821556520151e-06,
|
629 |
+
"loss": 0.0661,
|
630 |
+
"step": 83
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 1.24,
|
634 |
+
"grad_norm": 0.37926897406578064,
|
635 |
+
"learning_rate": 6.640124289197845e-06,
|
636 |
+
"loss": 0.0739,
|
637 |
+
"step": 84
|
638 |
+
},
|
639 |
+
{
|
640 |
+
"epoch": 1.25,
|
641 |
+
"grad_norm": 0.5506991744041443,
|
642 |
+
"learning_rate": 6.560969037458933e-06,
|
643 |
+
"loss": 0.0722,
|
644 |
+
"step": 85
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 1.25,
|
648 |
+
"eval_loss": 0.06798132508993149,
|
649 |
+
"eval_runtime": 131.6498,
|
650 |
+
"eval_samples_per_second": 7.026,
|
651 |
+
"eval_steps_per_second": 0.881,
|
652 |
+
"step": 85
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 1.27,
|
656 |
+
"grad_norm": 0.36365798115730286,
|
657 |
+
"learning_rate": 6.481377904428171e-06,
|
658 |
+
"loss": 0.0675,
|
659 |
+
"step": 86
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 1.28,
|
663 |
+
"grad_norm": 0.24918232858181,
|
664 |
+
"learning_rate": 6.401373114944781e-06,
|
665 |
+
"loss": 0.0654,
|
666 |
+
"step": 87
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 1.3,
|
670 |
+
"grad_norm": 0.32376477122306824,
|
671 |
+
"learning_rate": 6.3209770093564315e-06,
|
672 |
+
"loss": 0.0666,
|
673 |
+
"step": 88
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 1.31,
|
677 |
+
"grad_norm": 0.5324047207832336,
|
678 |
+
"learning_rate": 6.240212037280967e-06,
|
679 |
+
"loss": 0.0616,
|
680 |
+
"step": 89
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 1.33,
|
684 |
+
"grad_norm": 0.2454373985528946,
|
685 |
+
"learning_rate": 6.1591007513376425e-06,
|
686 |
+
"loss": 0.0705,
|
687 |
+
"step": 90
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 1.34,
|
691 |
+
"grad_norm": 0.5578957796096802,
|
692 |
+
"learning_rate": 6.077665800849568e-06,
|
693 |
+
"loss": 0.0783,
|
694 |
+
"step": 91
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 1.36,
|
698 |
+
"grad_norm": 0.475643515586853,
|
699 |
+
"learning_rate": 5.995929925519181e-06,
|
700 |
+
"loss": 0.0689,
|
701 |
+
"step": 92
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 1.37,
|
705 |
+
"grad_norm": 0.5447214841842651,
|
706 |
+
"learning_rate": 5.913915949078453e-06,
|
707 |
+
"loss": 0.0692,
|
708 |
+
"step": 93
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 1.39,
|
712 |
+
"grad_norm": 0.19609016180038452,
|
713 |
+
"learning_rate": 5.831646772915651e-06,
|
714 |
+
"loss": 0.0684,
|
715 |
+
"step": 94
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 1.4,
|
719 |
+
"grad_norm": 0.3513399362564087,
|
720 |
+
"learning_rate": 5.7491453696804075e-06,
|
721 |
+
"loss": 0.0606,
|
722 |
+
"step": 95
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 1.42,
|
726 |
+
"grad_norm": 0.5132963061332703,
|
727 |
+
"learning_rate": 5.666434776868895e-06,
|
728 |
+
"loss": 0.0618,
|
729 |
+
"step": 96
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 1.43,
|
733 |
+
"grad_norm": 0.3573090732097626,
|
734 |
+
"learning_rate": 5.583538090390882e-06,
|
735 |
+
"loss": 0.066,
|
736 |
+
"step": 97
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 1.45,
|
740 |
+
"grad_norm": 0.37191343307495117,
|
741 |
+
"learning_rate": 5.500478458120493e-06,
|
742 |
+
"loss": 0.0574,
|
743 |
+
"step": 98
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 1.46,
|
747 |
+
"grad_norm": 0.5762889385223389,
|
748 |
+
"learning_rate": 5.41727907343245e-06,
|
749 |
+
"loss": 0.0698,
|
750 |
+
"step": 99
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 1.48,
|
754 |
+
"grad_norm": 0.2511120140552521,
|
755 |
+
"learning_rate": 5.3339631687256085e-06,
|
756 |
+
"loss": 0.0642,
|
757 |
+
"step": 100
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 1.49,
|
761 |
+
"grad_norm": 0.5286504626274109,
|
762 |
+
"learning_rate": 5.250554008935596e-06,
|
763 |
+
"loss": 0.0702,
|
764 |
+
"step": 101
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.51,
|
768 |
+
"grad_norm": 0.283104807138443,
|
769 |
+
"learning_rate": 5.1670748850383734e-06,
|
770 |
+
"loss": 0.0676,
|
771 |
+
"step": 102
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 1.51,
|
775 |
+
"eval_loss": 0.06662092357873917,
|
776 |
+
"eval_runtime": 128.4351,
|
777 |
+
"eval_samples_per_second": 7.202,
|
778 |
+
"eval_steps_per_second": 0.903,
|
779 |
+
"step": 102
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 1.52,
|
783 |
+
"grad_norm": 0.3505866527557373,
|
784 |
+
"learning_rate": 5.083549107546505e-06,
|
785 |
+
"loss": 0.0749,
|
786 |
+
"step": 103
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 1.54,
|
790 |
+
"grad_norm": 0.4083852469921112,
|
791 |
+
"learning_rate": 5e-06,
|
792 |
+
"loss": 0.0683,
|
793 |
+
"step": 104
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 1.55,
|
797 |
+
"grad_norm": 0.6204113364219666,
|
798 |
+
"learning_rate": 4.916450892453495e-06,
|
799 |
+
"loss": 0.0579,
|
800 |
+
"step": 105
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.57,
|
804 |
+
"grad_norm": 0.2663183808326721,
|
805 |
+
"learning_rate": 4.832925114961629e-06,
|
806 |
+
"loss": 0.0606,
|
807 |
+
"step": 106
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 1.58,
|
811 |
+
"grad_norm": 0.5618534684181213,
|
812 |
+
"learning_rate": 4.7494459910644044e-06,
|
813 |
+
"loss": 0.0702,
|
814 |
+
"step": 107
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 1.6,
|
818 |
+
"grad_norm": 0.5477017760276794,
|
819 |
+
"learning_rate": 4.666036831274392e-06,
|
820 |
+
"loss": 0.0717,
|
821 |
+
"step": 108
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 1.61,
|
825 |
+
"grad_norm": 0.5102267265319824,
|
826 |
+
"learning_rate": 4.582720926567552e-06,
|
827 |
+
"loss": 0.0703,
|
828 |
+
"step": 109
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 1.63,
|
832 |
+
"grad_norm": 0.2536521255970001,
|
833 |
+
"learning_rate": 4.499521541879508e-06,
|
834 |
+
"loss": 0.0653,
|
835 |
+
"step": 110
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 1.64,
|
839 |
+
"grad_norm": 0.3182464838027954,
|
840 |
+
"learning_rate": 4.416461909609119e-06,
|
841 |
+
"loss": 0.068,
|
842 |
+
"step": 111
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 1.66,
|
846 |
+
"grad_norm": 0.2570602595806122,
|
847 |
+
"learning_rate": 4.333565223131107e-06,
|
848 |
+
"loss": 0.0636,
|
849 |
+
"step": 112
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 1.67,
|
853 |
+
"grad_norm": 0.1940167397260666,
|
854 |
+
"learning_rate": 4.250854630319593e-06,
|
855 |
+
"loss": 0.0692,
|
856 |
+
"step": 113
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 1.69,
|
860 |
+
"grad_norm": 0.33302024006843567,
|
861 |
+
"learning_rate": 4.1683532270843505e-06,
|
862 |
+
"loss": 0.062,
|
863 |
+
"step": 114
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 1.7,
|
867 |
+
"grad_norm": 0.26795655488967896,
|
868 |
+
"learning_rate": 4.08608405092155e-06,
|
869 |
+
"loss": 0.0629,
|
870 |
+
"step": 115
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 1.72,
|
874 |
+
"grad_norm": 0.5258805751800537,
|
875 |
+
"learning_rate": 4.004070074480821e-06,
|
876 |
+
"loss": 0.0634,
|
877 |
+
"step": 116
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 1.73,
|
881 |
+
"grad_norm": 0.2478051334619522,
|
882 |
+
"learning_rate": 3.922334199150433e-06,
|
883 |
+
"loss": 0.0675,
|
884 |
+
"step": 117
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 1.75,
|
888 |
+
"grad_norm": 0.30332913994789124,
|
889 |
+
"learning_rate": 3.840899248662358e-06,
|
890 |
+
"loss": 0.063,
|
891 |
+
"step": 118
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 1.76,
|
895 |
+
"grad_norm": 0.21814480423927307,
|
896 |
+
"learning_rate": 3.7597879627190337e-06,
|
897 |
+
"loss": 0.068,
|
898 |
+
"step": 119
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 1.76,
|
902 |
+
"eval_loss": 0.06482138484716415,
|
903 |
+
"eval_runtime": 126.2918,
|
904 |
+
"eval_samples_per_second": 7.324,
|
905 |
+
"eval_steps_per_second": 0.919,
|
906 |
+
"step": 119
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 1.78,
|
910 |
+
"grad_norm": 0.27936533093452454,
|
911 |
+
"learning_rate": 3.6790229906435706e-06,
|
912 |
+
"loss": 0.065,
|
913 |
+
"step": 120
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 1.79,
|
917 |
+
"grad_norm": 0.2364480048418045,
|
918 |
+
"learning_rate": 3.598626885055219e-06,
|
919 |
+
"loss": 0.0672,
|
920 |
+
"step": 121
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 1.81,
|
924 |
+
"grad_norm": 0.32356905937194824,
|
925 |
+
"learning_rate": 3.518622095571831e-06,
|
926 |
+
"loss": 0.065,
|
927 |
+
"step": 122
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 1.82,
|
931 |
+
"grad_norm": 0.24160273373126984,
|
932 |
+
"learning_rate": 3.439030962541069e-06,
|
933 |
+
"loss": 0.0646,
|
934 |
+
"step": 123
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 1.84,
|
938 |
+
"grad_norm": 0.26129576563835144,
|
939 |
+
"learning_rate": 3.3598757108021546e-06,
|
940 |
+
"loss": 0.064,
|
941 |
+
"step": 124
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 1.85,
|
945 |
+
"grad_norm": 0.24441897869110107,
|
946 |
+
"learning_rate": 3.281178443479852e-06,
|
947 |
+
"loss": 0.0525,
|
948 |
+
"step": 125
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 1.87,
|
952 |
+
"grad_norm": 0.23377354443073273,
|
953 |
+
"learning_rate": 3.202961135812437e-06,
|
954 |
+
"loss": 0.0592,
|
955 |
+
"step": 126
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"epoch": 1.88,
|
959 |
+
"grad_norm": 0.3297436833381653,
|
960 |
+
"learning_rate": 3.1252456290153952e-06,
|
961 |
+
"loss": 0.0625,
|
962 |
+
"step": 127
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 1.9,
|
966 |
+
"grad_norm": 0.7371227145195007,
|
967 |
+
"learning_rate": 3.0480536241825263e-06,
|
968 |
+
"loss": 0.0644,
|
969 |
+
"step": 128
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 1.91,
|
973 |
+
"grad_norm": 0.46529266238212585,
|
974 |
+
"learning_rate": 2.9714066762261825e-06,
|
975 |
+
"loss": 0.0641,
|
976 |
+
"step": 129
|
977 |
+
},
|
978 |
+
{
|
979 |
+
"epoch": 1.93,
|
980 |
+
"grad_norm": 0.5547051429748535,
|
981 |
+
"learning_rate": 2.8953261878583263e-06,
|
982 |
+
"loss": 0.0747,
|
983 |
+
"step": 130
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 1.94,
|
987 |
+
"grad_norm": 0.3253116011619568,
|
988 |
+
"learning_rate": 2.8198334036140873e-06,
|
989 |
+
"loss": 0.0709,
|
990 |
+
"step": 131
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 1.96,
|
994 |
+
"grad_norm": 0.26438066363334656,
|
995 |
+
"learning_rate": 2.74494940391949e-06,
|
996 |
+
"loss": 0.0651,
|
997 |
+
"step": 132
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"epoch": 1.97,
|
1001 |
+
"grad_norm": 0.28292524814605713,
|
1002 |
+
"learning_rate": 2.6706950992050097e-06,
|
1003 |
+
"loss": 0.0662,
|
1004 |
+
"step": 133
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 1.99,
|
1008 |
+
"grad_norm": 0.2487596571445465,
|
1009 |
+
"learning_rate": 2.5970912240665815e-06,
|
1010 |
+
"loss": 0.0617,
|
1011 |
+
"step": 134
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 2.0,
|
1015 |
+
"grad_norm": 0.3353869318962097,
|
1016 |
+
"learning_rate": 2.5241583314757327e-06,
|
1017 |
+
"loss": 0.0706,
|
1018 |
+
"step": 135
|
1019 |
+
},
|
1020 |
+
{
|
1021 |
+
"epoch": 2.02,
|
1022 |
+
"grad_norm": 0.25893494486808777,
|
1023 |
+
"learning_rate": 2.4519167870404126e-06,
|
1024 |
+
"loss": 0.0562,
|
1025 |
+
"step": 136
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 2.02,
|
1029 |
+
"eval_loss": 0.06374615430831909,
|
1030 |
+
"eval_runtime": 125.462,
|
1031 |
+
"eval_samples_per_second": 7.373,
|
1032 |
+
"eval_steps_per_second": 0.925,
|
1033 |
+
"step": 136
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 2.01,
|
1037 |
+
"grad_norm": 0.29034262895584106,
|
1038 |
+
"learning_rate": 2.3803867633181575e-06,
|
1039 |
+
"loss": 0.0604,
|
1040 |
+
"step": 137
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 2.03,
|
1044 |
+
"grad_norm": 0.3979719281196594,
|
1045 |
+
"learning_rate": 2.309588234183137e-06,
|
1046 |
+
"loss": 0.0592,
|
1047 |
+
"step": 138
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 2.04,
|
1051 |
+
"grad_norm": 0.4841715395450592,
|
1052 |
+
"learning_rate": 2.2395409692487174e-06,
|
1053 |
+
"loss": 0.0701,
|
1054 |
+
"step": 139
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 2.06,
|
1058 |
+
"grad_norm": 0.3323078453540802,
|
1059 |
+
"learning_rate": 2.1702645283470238e-06,
|
1060 |
+
"loss": 0.0616,
|
1061 |
+
"step": 140
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 2.07,
|
1065 |
+
"grad_norm": 0.3198353946208954,
|
1066 |
+
"learning_rate": 2.1017782560671124e-06,
|
1067 |
+
"loss": 0.0582,
|
1068 |
+
"step": 141
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 2.09,
|
1072 |
+
"grad_norm": 0.2505796253681183,
|
1073 |
+
"learning_rate": 2.0341012763532243e-06,
|
1074 |
+
"loss": 0.0698,
|
1075 |
+
"step": 142
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"epoch": 2.1,
|
1079 |
+
"grad_norm": 0.40075603127479553,
|
1080 |
+
"learning_rate": 1.967252487164663e-06,
|
1081 |
+
"loss": 0.0608,
|
1082 |
+
"step": 143
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 2.12,
|
1086 |
+
"grad_norm": 0.23713812232017517,
|
1087 |
+
"learning_rate": 1.9012505551987764e-06,
|
1088 |
+
"loss": 0.0615,
|
1089 |
+
"step": 144
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 2.13,
|
1093 |
+
"grad_norm": 0.39941224455833435,
|
1094 |
+
"learning_rate": 1.836113910678507e-06,
|
1095 |
+
"loss": 0.0721,
|
1096 |
+
"step": 145
|
1097 |
+
},
|
1098 |
+
{
|
1099 |
+
"epoch": 2.15,
|
1100 |
+
"grad_norm": 0.22243474423885345,
|
1101 |
+
"learning_rate": 1.771860742205988e-06,
|
1102 |
+
"loss": 0.0591,
|
1103 |
+
"step": 146
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 2.16,
|
1107 |
+
"grad_norm": 0.2193121612071991,
|
1108 |
+
"learning_rate": 1.7085089916835924e-06,
|
1109 |
+
"loss": 0.0628,
|
1110 |
+
"step": 147
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 2.18,
|
1114 |
+
"grad_norm": 0.4138857126235962,
|
1115 |
+
"learning_rate": 1.646076349303884e-06,
|
1116 |
+
"loss": 0.06,
|
1117 |
+
"step": 148
|
1118 |
+
},
|
1119 |
+
{
|
1120 |
+
"epoch": 2.19,
|
1121 |
+
"grad_norm": 0.2536584436893463,
|
1122 |
+
"learning_rate": 1.5845802486098461e-06,
|
1123 |
+
"loss": 0.0627,
|
1124 |
+
"step": 149
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 2.21,
|
1128 |
+
"grad_norm": 0.37862974405288696,
|
1129 |
+
"learning_rate": 1.5240378616267887e-06,
|
1130 |
+
"loss": 0.068,
|
1131 |
+
"step": 150
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 2.22,
|
1135 |
+
"grad_norm": 0.484770804643631,
|
1136 |
+
"learning_rate": 1.4644660940672628e-06,
|
1137 |
+
"loss": 0.0562,
|
1138 |
+
"step": 151
|
1139 |
+
},
|
1140 |
+
{
|
1141 |
+
"epoch": 2.24,
|
1142 |
+
"grad_norm": 0.5063880085945129,
|
1143 |
+
"learning_rate": 1.4058815806103542e-06,
|
1144 |
+
"loss": 0.0698,
|
1145 |
+
"step": 152
|
1146 |
+
},
|
1147 |
+
{
|
1148 |
+
"epoch": 2.25,
|
1149 |
+
"grad_norm": 0.6178727746009827,
|
1150 |
+
"learning_rate": 1.3483006802566546e-06,
|
1151 |
+
"loss": 0.0674,
|
1152 |
+
"step": 153
|
1153 |
+
},
|
1154 |
+
{
|
1155 |
+
"epoch": 2.25,
|
1156 |
+
"eval_loss": 0.0628371387720108,
|
1157 |
+
"eval_runtime": 32.0386,
|
1158 |
+
"eval_samples_per_second": 28.871,
|
1159 |
+
"eval_steps_per_second": 3.621,
|
1160 |
+
"step": 153
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 2.27,
|
1164 |
+
"grad_norm": 0.3401700258255005,
|
1165 |
+
"learning_rate": 1.2917394717602123e-06,
|
1166 |
+
"loss": 0.0597,
|
1167 |
+
"step": 154
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 2.28,
|
1171 |
+
"grad_norm": 0.3246176838874817,
|
1172 |
+
"learning_rate": 1.2362137491387433e-06,
|
1173 |
+
"loss": 0.0582,
|
1174 |
+
"step": 155
|
1175 |
+
},
|
1176 |
+
{
|
1177 |
+
"epoch": 2.3,
|
1178 |
+
"grad_norm": 0.29669150710105896,
|
1179 |
+
"learning_rate": 1.1817390172633402e-06,
|
1180 |
+
"loss": 0.0726,
|
1181 |
+
"step": 156
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 2.31,
|
1185 |
+
"grad_norm": 0.25248482823371887,
|
1186 |
+
"learning_rate": 1.1283304875289335e-06,
|
1187 |
+
"loss": 0.0535,
|
1188 |
+
"step": 157
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 2.33,
|
1192 |
+
"grad_norm": 0.21017588675022125,
|
1193 |
+
"learning_rate": 1.0760030736066952e-06,
|
1194 |
+
"loss": 0.0628,
|
1195 |
+
"step": 158
|
1196 |
+
},
|
1197 |
+
{
|
1198 |
+
"epoch": 2.34,
|
1199 |
+
"grad_norm": 0.213237002491951,
|
1200 |
+
"learning_rate": 1.024771387279585e-06,
|
1201 |
+
"loss": 0.0594,
|
1202 |
+
"step": 159
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 2.36,
|
1206 |
+
"grad_norm": 0.3133507966995239,
|
1207 |
+
"learning_rate": 9.746497343621857e-07,
|
1208 |
+
"loss": 0.0616,
|
1209 |
+
"step": 160
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 2.37,
|
1213 |
+
"grad_norm": 0.29600203037261963,
|
1214 |
+
"learning_rate": 9.256521107059834e-07,
|
1215 |
+
"loss": 0.0569,
|
1216 |
+
"step": 161
|
1217 |
+
},
|
1218 |
+
{
|
1219 |
+
"epoch": 2.39,
|
1220 |
+
"grad_norm": 0.267036497592926,
|
1221 |
+
"learning_rate": 8.777921982911996e-07,
|
1222 |
+
"loss": 0.0571,
|
1223 |
+
"step": 162
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 2.4,
|
1227 |
+
"grad_norm": 0.23227794468402863,
|
1228 |
+
"learning_rate": 8.310833614062652e-07,
|
1229 |
+
"loss": 0.0652,
|
1230 |
+
"step": 163
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 2.42,
|
1234 |
+
"grad_norm": 0.28623953461647034,
|
1235 |
+
"learning_rate": 7.85538642916015e-07,
|
1236 |
+
"loss": 0.0665,
|
1237 |
+
"step": 164
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 2.43,
|
1241 |
+
"grad_norm": 0.23467646539211273,
|
1242 |
+
"learning_rate": 7.411707606196189e-07,
|
1243 |
+
"loss": 0.063,
|
1244 |
+
"step": 165
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 2.45,
|
1248 |
+
"grad_norm": 0.25430357456207275,
|
1249 |
+
"learning_rate": 6.979921036993042e-07,
|
1250 |
+
"loss": 0.0629,
|
1251 |
+
"step": 166
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 2.46,
|
1255 |
+
"grad_norm": 0.22180821001529694,
|
1256 |
+
"learning_rate": 6.560147292608177e-07,
|
1257 |
+
"loss": 0.0584,
|
1258 |
+
"step": 167
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 2.48,
|
1262 |
+
"grad_norm": 0.2619880437850952,
|
1263 |
+
"learning_rate": 6.152503589666426e-07,
|
1264 |
+
"loss": 0.0586,
|
1265 |
+
"step": 168
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 2.49,
|
1269 |
+
"grad_norm": 0.2673584520816803,
|
1270 |
+
"learning_rate": 5.757103757628573e-07,
|
1271 |
+
"loss": 0.058,
|
1272 |
+
"step": 169
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 2.51,
|
1276 |
+
"grad_norm": 0.27297332882881165,
|
1277 |
+
"learning_rate": 5.374058207005945e-07,
|
1278 |
+
"loss": 0.0611,
|
1279 |
+
"step": 170
|
1280 |
+
},
|
1281 |
+
{
|
1282 |
+
"epoch": 2.51,
|
1283 |
+
"eval_loss": 0.06254950165748596,
|
1284 |
+
"eval_runtime": 32.0576,
|
1285 |
+
"eval_samples_per_second": 28.854,
|
1286 |
+
"eval_steps_per_second": 3.618,
|
1287 |
+
"step": 170
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 2.52,
|
1291 |
+
"grad_norm": 0.752245306968689,
|
1292 |
+
"learning_rate": 5.00347389852961e-07,
|
1293 |
+
"loss": 0.0626,
|
1294 |
+
"step": 171
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 2.54,
|
1298 |
+
"grad_norm": 0.3121594190597534,
|
1299 |
+
"learning_rate": 4.6454543132829653e-07,
|
1300 |
+
"loss": 0.0551,
|
1301 |
+
"step": 172
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 2.55,
|
1305 |
+
"grad_norm": 0.3015207350254059,
|
1306 |
+
"learning_rate": 4.300099423805865e-07,
|
1307 |
+
"loss": 0.0564,
|
1308 |
+
"step": 173
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 2.57,
|
1312 |
+
"grad_norm": 0.25785017013549805,
|
1313 |
+
"learning_rate": 3.9675056661785563e-07,
|
1314 |
+
"loss": 0.0624,
|
1315 |
+
"step": 174
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 2.58,
|
1319 |
+
"grad_norm": 0.43912383913993835,
|
1320 |
+
"learning_rate": 3.647765913093132e-07,
|
1321 |
+
"loss": 0.0561,
|
1322 |
+
"step": 175
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 2.6,
|
1326 |
+
"grad_norm": 0.34310853481292725,
|
1327 |
+
"learning_rate": 3.340969447919873e-07,
|
1328 |
+
"loss": 0.0651,
|
1329 |
+
"step": 176
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 2.61,
|
1333 |
+
"grad_norm": 0.2365168333053589,
|
1334 |
+
"learning_rate": 3.0472019397761065e-07,
|
1335 |
+
"loss": 0.0583,
|
1336 |
+
"step": 177
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 2.63,
|
1340 |
+
"grad_norm": 0.4571215808391571,
|
1341 |
+
"learning_rate": 2.7665454196040665e-07,
|
1342 |
+
"loss": 0.0728,
|
1343 |
+
"step": 178
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 2.64,
|
1347 |
+
"grad_norm": 0.2848273813724518,
|
1348 |
+
"learning_rate": 2.4990782572647977e-07,
|
1349 |
+
"loss": 0.0577,
|
1350 |
+
"step": 179
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 2.66,
|
1354 |
+
"grad_norm": 0.2541896402835846,
|
1355 |
+
"learning_rate": 2.2448751396543788e-07,
|
1356 |
+
"loss": 0.0579,
|
1357 |
+
"step": 180
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 2.67,
|
1361 |
+
"grad_norm": 0.25773105025291443,
|
1362 |
+
"learning_rate": 2.004007049848461e-07,
|
1363 |
+
"loss": 0.0598,
|
1364 |
+
"step": 181
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 2.69,
|
1368 |
+
"grad_norm": 0.4684333801269531,
|
1369 |
+
"learning_rate": 1.776541247281177e-07,
|
1370 |
+
"loss": 0.0487,
|
1371 |
+
"step": 182
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 2.7,
|
1375 |
+
"grad_norm": 0.4208538830280304,
|
1376 |
+
"learning_rate": 1.5625412489637337e-07,
|
1377 |
+
"loss": 0.0734,
|
1378 |
+
"step": 183
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 2.72,
|
1382 |
+
"grad_norm": 0.36085304617881775,
|
1383 |
+
"learning_rate": 1.3620668117481471e-07,
|
1384 |
+
"loss": 0.068,
|
1385 |
+
"step": 184
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 2.73,
|
1389 |
+
"grad_norm": 0.25514504313468933,
|
1390 |
+
"learning_rate": 1.1751739156407649e-07,
|
1391 |
+
"loss": 0.0589,
|
1392 |
+
"step": 185
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 2.75,
|
1396 |
+
"grad_norm": 0.27741602063179016,
|
1397 |
+
"learning_rate": 1.0019147481706626e-07,
|
1398 |
+
"loss": 0.0593,
|
1399 |
+
"step": 186
|
1400 |
+
},
|
1401 |
+
{
|
1402 |
+
"epoch": 2.76,
|
1403 |
+
"grad_norm": 0.3092593848705292,
|
1404 |
+
"learning_rate": 8.423376898168246e-08,
|
1405 |
+
"loss": 0.0536,
|
1406 |
+
"step": 187
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 2.76,
|
1410 |
+
"eval_loss": 0.0627126693725586,
|
1411 |
+
"eval_runtime": 32.0187,
|
1412 |
+
"eval_samples_per_second": 28.889,
|
1413 |
+
"eval_steps_per_second": 3.623,
|
1414 |
+
"step": 187
|
1415 |
+
},
|
1416 |
+
{
|
1417 |
+
"epoch": 2.78,
|
1418 |
+
"grad_norm": 0.2300243228673935,
|
1419 |
+
"learning_rate": 6.964873004985717e-08,
|
1420 |
+
"loss": 0.0585,
|
1421 |
+
"step": 188
|
1422 |
+
},
|
1423 |
+
{
|
1424 |
+
"epoch": 2.79,
|
1425 |
+
"grad_norm": 0.6012884974479675,
|
1426 |
+
"learning_rate": 5.6440430713269325e-08,
|
1427 |
+
"loss": 0.0683,
|
1428 |
+
"step": 189
|
1429 |
+
},
|
1430 |
+
{
|
1431 |
+
"epoch": 2.81,
|
1432 |
+
"grad_norm": 0.4536500573158264,
|
1433 |
+
"learning_rate": 4.461255922609986e-08,
|
1434 |
+
"loss": 0.0637,
|
1435 |
+
"step": 190
|
1436 |
+
},
|
1437 |
+
{
|
1438 |
+
"epoch": 2.82,
|
1439 |
+
"grad_norm": 0.2440507858991623,
|
1440 |
+
"learning_rate": 3.416841837512952e-08,
|
1441 |
+
"loss": 0.0574,
|
1442 |
+
"step": 191
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 2.84,
|
1446 |
+
"grad_norm": 0.29257693886756897,
|
1447 |
+
"learning_rate": 2.511092455747932e-08,
|
1448 |
+
"loss": 0.055,
|
1449 |
+
"step": 192
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"epoch": 2.85,
|
1453 |
+
"grad_norm": 0.24556905031204224,
|
1454 |
+
"learning_rate": 1.7442606966242005e-08,
|
1455 |
+
"loss": 0.0646,
|
1456 |
+
"step": 193
|
1457 |
+
},
|
1458 |
+
{
|
1459 |
+
"epoch": 2.87,
|
1460 |
+
"grad_norm": 0.243976429104805,
|
1461 |
+
"learning_rate": 1.1165606884234182e-08,
|
1462 |
+
"loss": 0.0547,
|
1463 |
+
"step": 194
|
1464 |
+
},
|
1465 |
+
{
|
1466 |
+
"epoch": 2.88,
|
1467 |
+
"grad_norm": 0.44641396403312683,
|
1468 |
+
"learning_rate": 6.281677086071303e-09,
|
1469 |
+
"loss": 0.0629,
|
1470 |
+
"step": 195
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 2.9,
|
1474 |
+
"grad_norm": 0.27298280596733093,
|
1475 |
+
"learning_rate": 2.792181348726941e-09,
|
1476 |
+
"loss": 0.059,
|
1477 |
+
"step": 196
|
1478 |
+
},
|
1479 |
+
{
|
1480 |
+
"epoch": 2.91,
|
1481 |
+
"grad_norm": 0.23333518207073212,
|
1482 |
+
"learning_rate": 6.980940707146388e-10,
|
1483 |
+
"loss": 0.055,
|
1484 |
+
"step": 197
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 2.93,
|
1488 |
+
"grad_norm": 0.3281053602695465,
|
1489 |
+
"learning_rate": 0.0,
|
1490 |
+
"loss": 0.0653,
|
1491 |
+
"step": 198
|
1492 |
+
}
|
1493 |
+
],
|
1494 |
+
"logging_steps": 1,
|
1495 |
+
"max_steps": 198,
|
1496 |
+
"num_input_tokens_seen": 0,
|
1497 |
+
"num_train_epochs": 3,
|
1498 |
+
"save_steps": 66,
|
1499 |
+
"total_flos": 1.4000287567262515e+17,
|
1500 |
+
"train_batch_size": 4,
|
1501 |
+
"trial_name": null,
|
1502 |
+
"trial_params": null
|
1503 |
+
}
|
checkpoint-198/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c3aa8a6641a3601e0e6938116d17cd8cd3d398e0c12208d120adf3e793eb3f1a
|
3 |
+
size 5752
|
checkpoint-66/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: mistralai/Mistral-7B-v0.1
|
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 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.10.0
|
checkpoint-66/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"gate_proj",
|
24 |
+
"down_proj",
|
25 |
+
"up_proj",
|
26 |
+
"k_proj",
|
27 |
+
"q_proj",
|
28 |
+
"o_proj",
|
29 |
+
"v_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-66/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b15eb26078458da96500c2534e9e6a70b4ca21aab1db4b2d3a10a19197fe531f
|
3 |
+
size 335604696
|
checkpoint-66/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4b26fda8233e95b0bc0b9c571d03584a9a1c3a15196f5fe89d0b5971b1fee4c5
|
3 |
+
size 168624724
|
checkpoint-66/rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:05a4a21e6e7af1623eb3c6bc57e16fd5464c110be52ca3b39df274c713b6e784
|
3 |
+
size 14512
|
checkpoint-66/rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:edb38aec5b941d876dcc9e5dc2d340494bca120e83efdea07f67b905ca6259be
|
3 |
+
size 14512
|
checkpoint-66/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:20687955dcda24f1fd29fd690390cbb14b9af05d547e8b7b9e6686c87349cee5
|
3 |
+
size 1064
|
checkpoint-66/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
checkpoint-66/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
checkpoint-66/tokenizer_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"additional_special_tokens": [],
|
32 |
+
"bos_token": "<s>",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 1000000000000000019884624838656,
|
37 |
+
"pad_token": "</s>",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false,
|
43 |
+
"use_fast": true
|
44 |
+
}
|
checkpoint-66/trainer_state.json
ADDED
@@ -0,0 +1,515 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9869158878504672,
|
5 |
+
"eval_steps": 17,
|
6 |
+
"global_step": 66,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"grad_norm": 8.601767539978027,
|
14 |
+
"learning_rate": 1.0000000000000002e-06,
|
15 |
+
"loss": 2.5188,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.01,
|
20 |
+
"eval_loss": 2.5281636714935303,
|
21 |
+
"eval_runtime": 136.1276,
|
22 |
+
"eval_samples_per_second": 6.795,
|
23 |
+
"eval_steps_per_second": 0.852,
|
24 |
+
"step": 1
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.03,
|
28 |
+
"grad_norm": 8.70827865600586,
|
29 |
+
"learning_rate": 2.0000000000000003e-06,
|
30 |
+
"loss": 2.561,
|
31 |
+
"step": 2
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.04,
|
35 |
+
"grad_norm": 8.504729270935059,
|
36 |
+
"learning_rate": 3e-06,
|
37 |
+
"loss": 2.5392,
|
38 |
+
"step": 3
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.06,
|
42 |
+
"grad_norm": 8.70252513885498,
|
43 |
+
"learning_rate": 4.000000000000001e-06,
|
44 |
+
"loss": 2.5358,
|
45 |
+
"step": 4
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.07,
|
49 |
+
"grad_norm": 8.545235633850098,
|
50 |
+
"learning_rate": 5e-06,
|
51 |
+
"loss": 2.4953,
|
52 |
+
"step": 5
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.09,
|
56 |
+
"grad_norm": 8.594281196594238,
|
57 |
+
"learning_rate": 6e-06,
|
58 |
+
"loss": 2.5025,
|
59 |
+
"step": 6
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.1,
|
63 |
+
"grad_norm": 8.570807456970215,
|
64 |
+
"learning_rate": 7e-06,
|
65 |
+
"loss": 2.4483,
|
66 |
+
"step": 7
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.12,
|
70 |
+
"grad_norm": 8.201045036315918,
|
71 |
+
"learning_rate": 8.000000000000001e-06,
|
72 |
+
"loss": 2.3844,
|
73 |
+
"step": 8
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.13,
|
77 |
+
"grad_norm": 8.294769287109375,
|
78 |
+
"learning_rate": 9e-06,
|
79 |
+
"loss": 2.3132,
|
80 |
+
"step": 9
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.15,
|
84 |
+
"grad_norm": 7.825733661651611,
|
85 |
+
"learning_rate": 1e-05,
|
86 |
+
"loss": 2.2073,
|
87 |
+
"step": 10
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.16,
|
91 |
+
"grad_norm": 7.359045028686523,
|
92 |
+
"learning_rate": 9.999301905929286e-06,
|
93 |
+
"loss": 2.0469,
|
94 |
+
"step": 11
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.18,
|
98 |
+
"grad_norm": 6.876375198364258,
|
99 |
+
"learning_rate": 9.997207818651273e-06,
|
100 |
+
"loss": 1.8699,
|
101 |
+
"step": 12
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.19,
|
105 |
+
"grad_norm": 6.270627021789551,
|
106 |
+
"learning_rate": 9.99371832291393e-06,
|
107 |
+
"loss": 1.6649,
|
108 |
+
"step": 13
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.21,
|
112 |
+
"grad_norm": 5.742035388946533,
|
113 |
+
"learning_rate": 9.988834393115768e-06,
|
114 |
+
"loss": 1.4954,
|
115 |
+
"step": 14
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.22,
|
119 |
+
"grad_norm": 5.249215602874756,
|
120 |
+
"learning_rate": 9.982557393033758e-06,
|
121 |
+
"loss": 1.3214,
|
122 |
+
"step": 15
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.24,
|
126 |
+
"grad_norm": 4.818938732147217,
|
127 |
+
"learning_rate": 9.97488907544252e-06,
|
128 |
+
"loss": 1.1535,
|
129 |
+
"step": 16
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.25,
|
133 |
+
"grad_norm": 4.380295753479004,
|
134 |
+
"learning_rate": 9.965831581624872e-06,
|
135 |
+
"loss": 1.0047,
|
136 |
+
"step": 17
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.25,
|
140 |
+
"eval_loss": 0.8628284335136414,
|
141 |
+
"eval_runtime": 133.5823,
|
142 |
+
"eval_samples_per_second": 6.925,
|
143 |
+
"eval_steps_per_second": 0.868,
|
144 |
+
"step": 17
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.27,
|
148 |
+
"grad_norm": 3.99696683883667,
|
149 |
+
"learning_rate": 9.955387440773902e-06,
|
150 |
+
"loss": 0.8632,
|
151 |
+
"step": 18
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 0.28,
|
155 |
+
"grad_norm": 3.7503676414489746,
|
156 |
+
"learning_rate": 9.943559569286731e-06,
|
157 |
+
"loss": 0.7559,
|
158 |
+
"step": 19
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.3,
|
162 |
+
"grad_norm": 3.430863618850708,
|
163 |
+
"learning_rate": 9.930351269950144e-06,
|
164 |
+
"loss": 0.6444,
|
165 |
+
"step": 20
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.31,
|
169 |
+
"grad_norm": 3.25299072265625,
|
170 |
+
"learning_rate": 9.915766231018317e-06,
|
171 |
+
"loss": 0.5364,
|
172 |
+
"step": 21
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 0.33,
|
176 |
+
"grad_norm": 3.217674970626831,
|
177 |
+
"learning_rate": 9.899808525182935e-06,
|
178 |
+
"loss": 0.4766,
|
179 |
+
"step": 22
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.34,
|
183 |
+
"grad_norm": 3.2001354694366455,
|
184 |
+
"learning_rate": 9.882482608435924e-06,
|
185 |
+
"loss": 0.4038,
|
186 |
+
"step": 23
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.36,
|
190 |
+
"grad_norm": 3.011241912841797,
|
191 |
+
"learning_rate": 9.863793318825186e-06,
|
192 |
+
"loss": 0.3333,
|
193 |
+
"step": 24
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.37,
|
197 |
+
"grad_norm": 2.758089303970337,
|
198 |
+
"learning_rate": 9.843745875103628e-06,
|
199 |
+
"loss": 0.2752,
|
200 |
+
"step": 25
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.39,
|
204 |
+
"grad_norm": 1.914292812347412,
|
205 |
+
"learning_rate": 9.822345875271884e-06,
|
206 |
+
"loss": 0.2229,
|
207 |
+
"step": 26
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.4,
|
211 |
+
"grad_norm": 2.1877121925354004,
|
212 |
+
"learning_rate": 9.799599295015154e-06,
|
213 |
+
"loss": 0.1846,
|
214 |
+
"step": 27
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 0.42,
|
218 |
+
"grad_norm": 2.3617541790008545,
|
219 |
+
"learning_rate": 9.775512486034564e-06,
|
220 |
+
"loss": 0.1556,
|
221 |
+
"step": 28
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.43,
|
225 |
+
"grad_norm": 1.431768774986267,
|
226 |
+
"learning_rate": 9.75009217427352e-06,
|
227 |
+
"loss": 0.1279,
|
228 |
+
"step": 29
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 0.45,
|
232 |
+
"grad_norm": 0.7117260098457336,
|
233 |
+
"learning_rate": 9.723345458039595e-06,
|
234 |
+
"loss": 0.1061,
|
235 |
+
"step": 30
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.46,
|
239 |
+
"grad_norm": 0.45769569277763367,
|
240 |
+
"learning_rate": 9.695279806022391e-06,
|
241 |
+
"loss": 0.0987,
|
242 |
+
"step": 31
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.48,
|
246 |
+
"grad_norm": 0.2953682243824005,
|
247 |
+
"learning_rate": 9.665903055208013e-06,
|
248 |
+
"loss": 0.0919,
|
249 |
+
"step": 32
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.49,
|
253 |
+
"grad_norm": 0.17375054955482483,
|
254 |
+
"learning_rate": 9.635223408690688e-06,
|
255 |
+
"loss": 0.0854,
|
256 |
+
"step": 33
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 0.51,
|
260 |
+
"grad_norm": 0.11500216275453568,
|
261 |
+
"learning_rate": 9.603249433382145e-06,
|
262 |
+
"loss": 0.086,
|
263 |
+
"step": 34
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.51,
|
267 |
+
"eval_loss": 0.08624568581581116,
|
268 |
+
"eval_runtime": 132.1775,
|
269 |
+
"eval_samples_per_second": 6.998,
|
270 |
+
"eval_steps_per_second": 0.878,
|
271 |
+
"step": 34
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.52,
|
275 |
+
"grad_norm": 0.12646625936031342,
|
276 |
+
"learning_rate": 9.569990057619414e-06,
|
277 |
+
"loss": 0.0851,
|
278 |
+
"step": 35
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.54,
|
282 |
+
"grad_norm": 0.11912114918231964,
|
283 |
+
"learning_rate": 9.535454568671705e-06,
|
284 |
+
"loss": 0.0834,
|
285 |
+
"step": 36
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.55,
|
289 |
+
"grad_norm": 0.24543708562850952,
|
290 |
+
"learning_rate": 9.49965261014704e-06,
|
291 |
+
"loss": 0.0836,
|
292 |
+
"step": 37
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 0.57,
|
296 |
+
"grad_norm": 0.0936342254281044,
|
297 |
+
"learning_rate": 9.462594179299408e-06,
|
298 |
+
"loss": 0.0844,
|
299 |
+
"step": 38
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 0.58,
|
303 |
+
"grad_norm": 0.18341362476348877,
|
304 |
+
"learning_rate": 9.424289624237143e-06,
|
305 |
+
"loss": 0.0805,
|
306 |
+
"step": 39
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.6,
|
310 |
+
"grad_norm": 0.21815626323223114,
|
311 |
+
"learning_rate": 9.384749641033358e-06,
|
312 |
+
"loss": 0.0811,
|
313 |
+
"step": 40
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.61,
|
317 |
+
"grad_norm": 0.21489091217517853,
|
318 |
+
"learning_rate": 9.343985270739184e-06,
|
319 |
+
"loss": 0.0793,
|
320 |
+
"step": 41
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.63,
|
324 |
+
"grad_norm": 0.23281769454479218,
|
325 |
+
"learning_rate": 9.302007896300697e-06,
|
326 |
+
"loss": 0.0775,
|
327 |
+
"step": 42
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.64,
|
331 |
+
"grad_norm": 0.6911139488220215,
|
332 |
+
"learning_rate": 9.25882923938038e-06,
|
333 |
+
"loss": 0.0812,
|
334 |
+
"step": 43
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 0.66,
|
338 |
+
"grad_norm": 0.6087940335273743,
|
339 |
+
"learning_rate": 9.214461357083986e-06,
|
340 |
+
"loss": 0.0801,
|
341 |
+
"step": 44
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 0.67,
|
345 |
+
"grad_norm": 0.5599693059921265,
|
346 |
+
"learning_rate": 9.168916638593736e-06,
|
347 |
+
"loss": 0.0822,
|
348 |
+
"step": 45
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 0.69,
|
352 |
+
"grad_norm": 0.23726361989974976,
|
353 |
+
"learning_rate": 9.122207801708802e-06,
|
354 |
+
"loss": 0.0744,
|
355 |
+
"step": 46
|
356 |
+
},
|
357 |
+
{
|
358 |
+
"epoch": 0.7,
|
359 |
+
"grad_norm": 1.075922966003418,
|
360 |
+
"learning_rate": 9.074347889294017e-06,
|
361 |
+
"loss": 0.0824,
|
362 |
+
"step": 47
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.72,
|
366 |
+
"grad_norm": 0.49190425872802734,
|
367 |
+
"learning_rate": 9.025350265637816e-06,
|
368 |
+
"loss": 0.0784,
|
369 |
+
"step": 48
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.73,
|
373 |
+
"grad_norm": 0.8844243288040161,
|
374 |
+
"learning_rate": 8.975228612720415e-06,
|
375 |
+
"loss": 0.0722,
|
376 |
+
"step": 49
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 0.75,
|
380 |
+
"grad_norm": 1.2909235954284668,
|
381 |
+
"learning_rate": 8.923996926393306e-06,
|
382 |
+
"loss": 0.075,
|
383 |
+
"step": 50
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.76,
|
387 |
+
"grad_norm": 0.3661656975746155,
|
388 |
+
"learning_rate": 8.871669512471068e-06,
|
389 |
+
"loss": 0.0732,
|
390 |
+
"step": 51
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.76,
|
394 |
+
"eval_loss": 0.07530223578214645,
|
395 |
+
"eval_runtime": 133.0044,
|
396 |
+
"eval_samples_per_second": 6.955,
|
397 |
+
"eval_steps_per_second": 0.872,
|
398 |
+
"step": 51
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.78,
|
402 |
+
"grad_norm": 0.49425163865089417,
|
403 |
+
"learning_rate": 8.818260982736662e-06,
|
404 |
+
"loss": 0.07,
|
405 |
+
"step": 52
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.79,
|
409 |
+
"grad_norm": 0.9367341995239258,
|
410 |
+
"learning_rate": 8.763786250861258e-06,
|
411 |
+
"loss": 0.0819,
|
412 |
+
"step": 53
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"epoch": 0.81,
|
416 |
+
"grad_norm": 0.9425927400588989,
|
417 |
+
"learning_rate": 8.708260528239788e-06,
|
418 |
+
"loss": 0.0754,
|
419 |
+
"step": 54
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 0.82,
|
423 |
+
"grad_norm": 0.3247818052768707,
|
424 |
+
"learning_rate": 8.651699319743348e-06,
|
425 |
+
"loss": 0.0739,
|
426 |
+
"step": 55
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 0.84,
|
430 |
+
"grad_norm": 0.8091337084770203,
|
431 |
+
"learning_rate": 8.594118419389648e-06,
|
432 |
+
"loss": 0.0724,
|
433 |
+
"step": 56
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 0.85,
|
437 |
+
"grad_norm": 0.556105375289917,
|
438 |
+
"learning_rate": 8.535533905932739e-06,
|
439 |
+
"loss": 0.0733,
|
440 |
+
"step": 57
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.87,
|
444 |
+
"grad_norm": 0.9925010800361633,
|
445 |
+
"learning_rate": 8.475962138373212e-06,
|
446 |
+
"loss": 0.0761,
|
447 |
+
"step": 58
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 0.88,
|
451 |
+
"grad_norm": 0.32729703187942505,
|
452 |
+
"learning_rate": 8.415419751390155e-06,
|
453 |
+
"loss": 0.0694,
|
454 |
+
"step": 59
|
455 |
+
},
|
456 |
+
{
|
457 |
+
"epoch": 0.9,
|
458 |
+
"grad_norm": 0.2549174129962921,
|
459 |
+
"learning_rate": 8.353923650696119e-06,
|
460 |
+
"loss": 0.0672,
|
461 |
+
"step": 60
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 0.91,
|
465 |
+
"grad_norm": 0.2688353657722473,
|
466 |
+
"learning_rate": 8.291491008316409e-06,
|
467 |
+
"loss": 0.0694,
|
468 |
+
"step": 61
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 0.93,
|
472 |
+
"grad_norm": 0.38362765312194824,
|
473 |
+
"learning_rate": 8.228139257794012e-06,
|
474 |
+
"loss": 0.0671,
|
475 |
+
"step": 62
|
476 |
+
},
|
477 |
+
{
|
478 |
+
"epoch": 0.94,
|
479 |
+
"grad_norm": 0.8581087589263916,
|
480 |
+
"learning_rate": 8.163886089321493e-06,
|
481 |
+
"loss": 0.0745,
|
482 |
+
"step": 63
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.96,
|
486 |
+
"grad_norm": 0.5643619894981384,
|
487 |
+
"learning_rate": 8.098749444801226e-06,
|
488 |
+
"loss": 0.0681,
|
489 |
+
"step": 64
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.97,
|
493 |
+
"grad_norm": 0.637834906578064,
|
494 |
+
"learning_rate": 8.032747512835338e-06,
|
495 |
+
"loss": 0.0773,
|
496 |
+
"step": 65
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 0.99,
|
500 |
+
"grad_norm": 0.2533693313598633,
|
501 |
+
"learning_rate": 7.965898723646777e-06,
|
502 |
+
"loss": 0.0663,
|
503 |
+
"step": 66
|
504 |
+
}
|
505 |
+
],
|
506 |
+
"logging_steps": 1,
|
507 |
+
"max_steps": 198,
|
508 |
+
"num_input_tokens_seen": 0,
|
509 |
+
"num_train_epochs": 3,
|
510 |
+
"save_steps": 66,
|
511 |
+
"total_flos": 4.667867604084326e+16,
|
512 |
+
"train_batch_size": 4,
|
513 |
+
"trial_name": null,
|
514 |
+
"trial_params": null
|
515 |
+
}
|
checkpoint-66/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c3aa8a6641a3601e0e6938116d17cd8cd3d398e0c12208d120adf3e793eb3f1a
|
3 |
+
size 5752
|
config.json
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "mistralai/Mistral-7B-v0.1",
|
3 |
+
"architectures": [
|
4 |
+
"MistralForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 1,
|
8 |
+
"eos_token_id": 2,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 4096,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 14336,
|
13 |
+
"max_position_embeddings": 32768,
|
14 |
+
"model_type": "mistral",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_hidden_layers": 32,
|
17 |
+
"num_key_value_heads": 8,
|
18 |
+
"quantization_config": {
|
19 |
+
"_load_in_4bit": false,
|
20 |
+
"_load_in_8bit": true,
|
21 |
+
"bnb_4bit_compute_dtype": "float32",
|
22 |
+
"bnb_4bit_quant_storage": "uint8",
|
23 |
+
"bnb_4bit_quant_type": "fp4",
|
24 |
+
"bnb_4bit_use_double_quant": false,
|
25 |
+
"llm_int8_enable_fp32_cpu_offload": false,
|
26 |
+
"llm_int8_has_fp16_weight": false,
|
27 |
+
"llm_int8_skip_modules": null,
|
28 |
+
"llm_int8_threshold": 6.0,
|
29 |
+
"load_in_4bit": false,
|
30 |
+
"load_in_8bit": true,
|
31 |
+
"quant_method": "bitsandbytes"
|
32 |
+
},
|
33 |
+
"rms_norm_eps": 1e-05,
|
34 |
+
"rope_theta": 10000.0,
|
35 |
+
"sliding_window": 4096,
|
36 |
+
"tie_word_embeddings": false,
|
37 |
+
"torch_dtype": "bfloat16",
|
38 |
+
"transformers_version": "4.40.0.dev0",
|
39 |
+
"use_cache": false,
|
40 |
+
"vocab_size": 32000
|
41 |
+
}
|
runs/Apr04_09-49-49_mala/events.out.tfevents.1712195390.mala.189757.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9b98399004f8d697069f34d506390ef6cb37eaa622d118b97c6c45f227b33175
|
3 |
+
size 50909
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "</s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
tokenizer_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"additional_special_tokens": [],
|
32 |
+
"bos_token": "<s>",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 1000000000000000019884624838656,
|
37 |
+
"pad_token": "</s>",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false,
|
43 |
+
"use_fast": true
|
44 |
+
}
|