hassanaliemon commited on
Commit
a324a10
1 Parent(s): 8a8fc9a

Upload 8 files

Browse files
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: BanglaLLM/bangla-llama-7b-instruct-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 0.11.1
adapter_config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "BanglaLLM/bangla-llama-7b-instruct-v0.1",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
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": 32,
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": 16,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "down_proj",
24
+ "up_proj",
25
+ "out_proj"
26
+ ],
27
+ "task_type": "CAUSAL_LM",
28
+ "use_dora": false,
29
+ "use_rslora": false
30
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:13df3cdff321623b9098d60d34ef1e496e04d2ff26f953ac2b0b97d268a5e852
3
+ size 61882768
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0dc8c1800a50dc837e650183dbfbbef8bbe0ff228929fbb8e9619a241b9fec11
3
+ size 123840122
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:22ede4350d18436fb984357cad833b61c44a135803dd4c9ff9b702b056e97f2b
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e2c0e77a58d163eb3348d3f335e52b82f2085220b08e0cd62a3b5bf59a55b29
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,1069 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.2448393106460571,
3
+ "best_model_checkpoint": "./lora_bn/checkpoint-1400",
4
+ "epoch": 0.9003215434083601,
5
+ "eval_steps": 200,
6
+ "global_step": 1400,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.006430868167202572,
13
+ "grad_norm": 1.3939015865325928,
14
+ "learning_rate": 2.9999999999999997e-05,
15
+ "loss": 3.6079,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.012861736334405145,
20
+ "grad_norm": 1.4347032308578491,
21
+ "learning_rate": 5.9999999999999995e-05,
22
+ "loss": 3.3531,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.01929260450160772,
27
+ "grad_norm": 1.10429847240448,
28
+ "learning_rate": 8.999999999999999e-05,
29
+ "loss": 2.7805,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.02572347266881029,
34
+ "grad_norm": 0.6873103976249695,
35
+ "learning_rate": 0.00011999999999999999,
36
+ "loss": 2.3846,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.03215434083601286,
41
+ "grad_norm": 0.749026894569397,
42
+ "learning_rate": 0.00015,
43
+ "loss": 2.2196,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.03858520900321544,
48
+ "grad_norm": 0.6276043057441711,
49
+ "learning_rate": 0.00017999999999999998,
50
+ "loss": 2.0483,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.04501607717041801,
55
+ "grad_norm": 0.7210396528244019,
56
+ "learning_rate": 0.00020999999999999998,
57
+ "loss": 1.8821,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.05144694533762058,
62
+ "grad_norm": 0.6538994312286377,
63
+ "learning_rate": 0.00023999999999999998,
64
+ "loss": 1.7903,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.05787781350482315,
69
+ "grad_norm": 0.7155820727348328,
70
+ "learning_rate": 0.00027,
71
+ "loss": 1.7298,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.06430868167202572,
76
+ "grad_norm": 0.6406599283218384,
77
+ "learning_rate": 0.0003,
78
+ "loss": 1.6995,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.0707395498392283,
83
+ "grad_norm": 0.5722670555114746,
84
+ "learning_rate": 0.00029793814432989686,
85
+ "loss": 1.6895,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.07717041800643087,
90
+ "grad_norm": 0.624355137348175,
91
+ "learning_rate": 0.0002958762886597938,
92
+ "loss": 1.6073,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.08360128617363344,
97
+ "grad_norm": 0.5818140506744385,
98
+ "learning_rate": 0.0002938144329896907,
99
+ "loss": 1.6228,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.09003215434083602,
104
+ "grad_norm": 0.5287107229232788,
105
+ "learning_rate": 0.0002917525773195876,
106
+ "loss": 1.6014,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.09646302250803858,
111
+ "grad_norm": 0.5458894968032837,
112
+ "learning_rate": 0.0002896907216494845,
113
+ "loss": 1.5688,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.10289389067524116,
118
+ "grad_norm": 0.5477120876312256,
119
+ "learning_rate": 0.0002876288659793814,
120
+ "loss": 1.5029,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.10932475884244373,
125
+ "grad_norm": 0.5350768566131592,
126
+ "learning_rate": 0.0002855670103092783,
127
+ "loss": 1.559,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.1157556270096463,
132
+ "grad_norm": 0.5387317538261414,
133
+ "learning_rate": 0.00028350515463917525,
134
+ "loss": 1.5013,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.12218649517684887,
139
+ "grad_norm": 0.5648557543754578,
140
+ "learning_rate": 0.00028144329896907214,
141
+ "loss": 1.5107,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.12861736334405144,
146
+ "grad_norm": 0.5028502345085144,
147
+ "learning_rate": 0.0002793814432989691,
148
+ "loss": 1.525,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.12861736334405144,
153
+ "eval_loss": 1.4951640367507935,
154
+ "eval_runtime": 340.2657,
155
+ "eval_samples_per_second": 5.878,
156
+ "eval_steps_per_second": 0.735,
157
+ "step": 200
158
+ },
159
+ {
160
+ "epoch": 0.13504823151125403,
161
+ "grad_norm": 0.520252525806427,
162
+ "learning_rate": 0.00027731958762886597,
163
+ "loss": 1.5075,
164
+ "step": 210
165
+ },
166
+ {
167
+ "epoch": 0.1414790996784566,
168
+ "grad_norm": 0.5032276511192322,
169
+ "learning_rate": 0.00027525773195876286,
170
+ "loss": 1.4617,
171
+ "step": 220
172
+ },
173
+ {
174
+ "epoch": 0.14790996784565916,
175
+ "grad_norm": 0.47061678767204285,
176
+ "learning_rate": 0.00027319587628865975,
177
+ "loss": 1.4809,
178
+ "step": 230
179
+ },
180
+ {
181
+ "epoch": 0.15434083601286175,
182
+ "grad_norm": 0.4570547640323639,
183
+ "learning_rate": 0.0002711340206185567,
184
+ "loss": 1.4195,
185
+ "step": 240
186
+ },
187
+ {
188
+ "epoch": 0.1607717041800643,
189
+ "grad_norm": 0.49685975909233093,
190
+ "learning_rate": 0.0002690721649484536,
191
+ "loss": 1.4835,
192
+ "step": 250
193
+ },
194
+ {
195
+ "epoch": 0.16720257234726688,
196
+ "grad_norm": 0.5451533794403076,
197
+ "learning_rate": 0.00026701030927835047,
198
+ "loss": 1.4514,
199
+ "step": 260
200
+ },
201
+ {
202
+ "epoch": 0.17363344051446947,
203
+ "grad_norm": 0.472751647233963,
204
+ "learning_rate": 0.0002649484536082474,
205
+ "loss": 1.4538,
206
+ "step": 270
207
+ },
208
+ {
209
+ "epoch": 0.18006430868167203,
210
+ "grad_norm": 0.4936389923095703,
211
+ "learning_rate": 0.0002628865979381443,
212
+ "loss": 1.4562,
213
+ "step": 280
214
+ },
215
+ {
216
+ "epoch": 0.1864951768488746,
217
+ "grad_norm": 0.5179173350334167,
218
+ "learning_rate": 0.00026082474226804124,
219
+ "loss": 1.45,
220
+ "step": 290
221
+ },
222
+ {
223
+ "epoch": 0.19292604501607716,
224
+ "grad_norm": 0.48392704129219055,
225
+ "learning_rate": 0.00025876288659793813,
226
+ "loss": 1.4381,
227
+ "step": 300
228
+ },
229
+ {
230
+ "epoch": 0.19935691318327975,
231
+ "grad_norm": 0.4685576856136322,
232
+ "learning_rate": 0.000256701030927835,
233
+ "loss": 1.439,
234
+ "step": 310
235
+ },
236
+ {
237
+ "epoch": 0.2057877813504823,
238
+ "grad_norm": 0.5039055347442627,
239
+ "learning_rate": 0.0002546391752577319,
240
+ "loss": 1.3921,
241
+ "step": 320
242
+ },
243
+ {
244
+ "epoch": 0.21221864951768488,
245
+ "grad_norm": 0.49153512716293335,
246
+ "learning_rate": 0.00025257731958762885,
247
+ "loss": 1.4272,
248
+ "step": 330
249
+ },
250
+ {
251
+ "epoch": 0.21864951768488747,
252
+ "grad_norm": 0.48751088976860046,
253
+ "learning_rate": 0.00025051546391752574,
254
+ "loss": 1.3853,
255
+ "step": 340
256
+ },
257
+ {
258
+ "epoch": 0.22508038585209003,
259
+ "grad_norm": 0.4660916328430176,
260
+ "learning_rate": 0.0002484536082474227,
261
+ "loss": 1.3963,
262
+ "step": 350
263
+ },
264
+ {
265
+ "epoch": 0.2315112540192926,
266
+ "grad_norm": 0.44358980655670166,
267
+ "learning_rate": 0.0002463917525773196,
268
+ "loss": 1.4165,
269
+ "step": 360
270
+ },
271
+ {
272
+ "epoch": 0.2379421221864952,
273
+ "grad_norm": 0.49413594603538513,
274
+ "learning_rate": 0.00024432989690721646,
275
+ "loss": 1.3768,
276
+ "step": 370
277
+ },
278
+ {
279
+ "epoch": 0.24437299035369775,
280
+ "grad_norm": 0.44838714599609375,
281
+ "learning_rate": 0.00024226804123711338,
282
+ "loss": 1.3877,
283
+ "step": 380
284
+ },
285
+ {
286
+ "epoch": 0.2508038585209003,
287
+ "grad_norm": 0.46237707138061523,
288
+ "learning_rate": 0.0002402061855670103,
289
+ "loss": 1.3781,
290
+ "step": 390
291
+ },
292
+ {
293
+ "epoch": 0.2572347266881029,
294
+ "grad_norm": 0.49087774753570557,
295
+ "learning_rate": 0.00023814432989690718,
296
+ "loss": 1.4006,
297
+ "step": 400
298
+ },
299
+ {
300
+ "epoch": 0.2572347266881029,
301
+ "eval_loss": 1.3819265365600586,
302
+ "eval_runtime": 340.2482,
303
+ "eval_samples_per_second": 5.878,
304
+ "eval_steps_per_second": 0.735,
305
+ "step": 400
306
+ },
307
+ {
308
+ "epoch": 0.26366559485530544,
309
+ "grad_norm": 0.47525086998939514,
310
+ "learning_rate": 0.0002360824742268041,
311
+ "loss": 1.3835,
312
+ "step": 410
313
+ },
314
+ {
315
+ "epoch": 0.27009646302250806,
316
+ "grad_norm": 0.4709095358848572,
317
+ "learning_rate": 0.00023402061855670102,
318
+ "loss": 1.4037,
319
+ "step": 420
320
+ },
321
+ {
322
+ "epoch": 0.2765273311897106,
323
+ "grad_norm": 0.4556897282600403,
324
+ "learning_rate": 0.00023195876288659793,
325
+ "loss": 1.4335,
326
+ "step": 430
327
+ },
328
+ {
329
+ "epoch": 0.2829581993569132,
330
+ "grad_norm": 0.5150389671325684,
331
+ "learning_rate": 0.00022989690721649485,
332
+ "loss": 1.3855,
333
+ "step": 440
334
+ },
335
+ {
336
+ "epoch": 0.28938906752411575,
337
+ "grad_norm": 0.4785289764404297,
338
+ "learning_rate": 0.0002278350515463917,
339
+ "loss": 1.3572,
340
+ "step": 450
341
+ },
342
+ {
343
+ "epoch": 0.2958199356913183,
344
+ "grad_norm": 0.4818146526813507,
345
+ "learning_rate": 0.00022577319587628863,
346
+ "loss": 1.4095,
347
+ "step": 460
348
+ },
349
+ {
350
+ "epoch": 0.3022508038585209,
351
+ "grad_norm": 0.44462355971336365,
352
+ "learning_rate": 0.00022371134020618554,
353
+ "loss": 1.3607,
354
+ "step": 470
355
+ },
356
+ {
357
+ "epoch": 0.3086816720257235,
358
+ "grad_norm": 0.4708723723888397,
359
+ "learning_rate": 0.00022164948453608246,
360
+ "loss": 1.3985,
361
+ "step": 480
362
+ },
363
+ {
364
+ "epoch": 0.31511254019292606,
365
+ "grad_norm": 0.46771880984306335,
366
+ "learning_rate": 0.00021958762886597935,
367
+ "loss": 1.364,
368
+ "step": 490
369
+ },
370
+ {
371
+ "epoch": 0.3215434083601286,
372
+ "grad_norm": 0.4421800971031189,
373
+ "learning_rate": 0.00021752577319587626,
374
+ "loss": 1.3938,
375
+ "step": 500
376
+ },
377
+ {
378
+ "epoch": 0.3279742765273312,
379
+ "grad_norm": 0.4229006767272949,
380
+ "learning_rate": 0.00021546391752577318,
381
+ "loss": 1.3547,
382
+ "step": 510
383
+ },
384
+ {
385
+ "epoch": 0.33440514469453375,
386
+ "grad_norm": 0.4854479730129242,
387
+ "learning_rate": 0.0002134020618556701,
388
+ "loss": 1.3448,
389
+ "step": 520
390
+ },
391
+ {
392
+ "epoch": 0.3408360128617363,
393
+ "grad_norm": 0.4800192713737488,
394
+ "learning_rate": 0.000211340206185567,
395
+ "loss": 1.3716,
396
+ "step": 530
397
+ },
398
+ {
399
+ "epoch": 0.34726688102893893,
400
+ "grad_norm": 0.4886428415775299,
401
+ "learning_rate": 0.0002092783505154639,
402
+ "loss": 1.381,
403
+ "step": 540
404
+ },
405
+ {
406
+ "epoch": 0.3536977491961415,
407
+ "grad_norm": 0.4030856788158417,
408
+ "learning_rate": 0.0002072164948453608,
409
+ "loss": 1.3242,
410
+ "step": 550
411
+ },
412
+ {
413
+ "epoch": 0.36012861736334406,
414
+ "grad_norm": 0.5465673208236694,
415
+ "learning_rate": 0.0002051546391752577,
416
+ "loss": 1.3309,
417
+ "step": 560
418
+ },
419
+ {
420
+ "epoch": 0.3665594855305466,
421
+ "grad_norm": 0.47386476397514343,
422
+ "learning_rate": 0.00020309278350515462,
423
+ "loss": 1.399,
424
+ "step": 570
425
+ },
426
+ {
427
+ "epoch": 0.3729903536977492,
428
+ "grad_norm": 0.4967169761657715,
429
+ "learning_rate": 0.0002010309278350515,
430
+ "loss": 1.3441,
431
+ "step": 580
432
+ },
433
+ {
434
+ "epoch": 0.37942122186495175,
435
+ "grad_norm": 0.44418269395828247,
436
+ "learning_rate": 0.00019896907216494843,
437
+ "loss": 1.3417,
438
+ "step": 590
439
+ },
440
+ {
441
+ "epoch": 0.3858520900321543,
442
+ "grad_norm": 0.447294682264328,
443
+ "learning_rate": 0.00019690721649484534,
444
+ "loss": 1.3011,
445
+ "step": 600
446
+ },
447
+ {
448
+ "epoch": 0.3858520900321543,
449
+ "eval_loss": 1.331955909729004,
450
+ "eval_runtime": 340.7655,
451
+ "eval_samples_per_second": 5.869,
452
+ "eval_steps_per_second": 0.734,
453
+ "step": 600
454
+ },
455
+ {
456
+ "epoch": 0.39228295819935693,
457
+ "grad_norm": 0.46866482496261597,
458
+ "learning_rate": 0.00019484536082474226,
459
+ "loss": 1.3152,
460
+ "step": 610
461
+ },
462
+ {
463
+ "epoch": 0.3987138263665595,
464
+ "grad_norm": 0.4665449857711792,
465
+ "learning_rate": 0.00019278350515463918,
466
+ "loss": 1.3253,
467
+ "step": 620
468
+ },
469
+ {
470
+ "epoch": 0.40514469453376206,
471
+ "grad_norm": 0.4765641391277313,
472
+ "learning_rate": 0.00019072164948453606,
473
+ "loss": 1.3493,
474
+ "step": 630
475
+ },
476
+ {
477
+ "epoch": 0.4115755627009646,
478
+ "grad_norm": 0.49187275767326355,
479
+ "learning_rate": 0.00018865979381443298,
480
+ "loss": 1.3454,
481
+ "step": 640
482
+ },
483
+ {
484
+ "epoch": 0.4180064308681672,
485
+ "grad_norm": 0.4786391258239746,
486
+ "learning_rate": 0.0001865979381443299,
487
+ "loss": 1.3464,
488
+ "step": 650
489
+ },
490
+ {
491
+ "epoch": 0.42443729903536975,
492
+ "grad_norm": 0.5260841846466064,
493
+ "learning_rate": 0.00018453608247422679,
494
+ "loss": 1.3165,
495
+ "step": 660
496
+ },
497
+ {
498
+ "epoch": 0.43086816720257237,
499
+ "grad_norm": 0.47295427322387695,
500
+ "learning_rate": 0.00018247422680412367,
501
+ "loss": 1.3064,
502
+ "step": 670
503
+ },
504
+ {
505
+ "epoch": 0.43729903536977494,
506
+ "grad_norm": 0.49421828985214233,
507
+ "learning_rate": 0.0001804123711340206,
508
+ "loss": 1.3315,
509
+ "step": 680
510
+ },
511
+ {
512
+ "epoch": 0.4437299035369775,
513
+ "grad_norm": 0.4635757505893707,
514
+ "learning_rate": 0.0001783505154639175,
515
+ "loss": 1.3549,
516
+ "step": 690
517
+ },
518
+ {
519
+ "epoch": 0.45016077170418006,
520
+ "grad_norm": 0.47637075185775757,
521
+ "learning_rate": 0.00017628865979381442,
522
+ "loss": 1.3124,
523
+ "step": 700
524
+ },
525
+ {
526
+ "epoch": 0.4565916398713826,
527
+ "grad_norm": 0.442953884601593,
528
+ "learning_rate": 0.00017422680412371134,
529
+ "loss": 1.3702,
530
+ "step": 710
531
+ },
532
+ {
533
+ "epoch": 0.4630225080385852,
534
+ "grad_norm": 0.49394121766090393,
535
+ "learning_rate": 0.00017216494845360823,
536
+ "loss": 1.3104,
537
+ "step": 720
538
+ },
539
+ {
540
+ "epoch": 0.4694533762057878,
541
+ "grad_norm": 0.4604041576385498,
542
+ "learning_rate": 0.00017010309278350514,
543
+ "loss": 1.2666,
544
+ "step": 730
545
+ },
546
+ {
547
+ "epoch": 0.4758842443729904,
548
+ "grad_norm": 0.45597556233406067,
549
+ "learning_rate": 0.00016804123711340206,
550
+ "loss": 1.3049,
551
+ "step": 740
552
+ },
553
+ {
554
+ "epoch": 0.48231511254019294,
555
+ "grad_norm": 0.4338426887989044,
556
+ "learning_rate": 0.00016597938144329898,
557
+ "loss": 1.3581,
558
+ "step": 750
559
+ },
560
+ {
561
+ "epoch": 0.4887459807073955,
562
+ "grad_norm": 0.4623814821243286,
563
+ "learning_rate": 0.00016391752577319584,
564
+ "loss": 1.2777,
565
+ "step": 760
566
+ },
567
+ {
568
+ "epoch": 0.49517684887459806,
569
+ "grad_norm": 0.4995267689228058,
570
+ "learning_rate": 0.00016185567010309275,
571
+ "loss": 1.3087,
572
+ "step": 770
573
+ },
574
+ {
575
+ "epoch": 0.5016077170418006,
576
+ "grad_norm": 0.4469720721244812,
577
+ "learning_rate": 0.00015979381443298967,
578
+ "loss": 1.2893,
579
+ "step": 780
580
+ },
581
+ {
582
+ "epoch": 0.5080385852090032,
583
+ "grad_norm": 0.4728144407272339,
584
+ "learning_rate": 0.00015773195876288659,
585
+ "loss": 1.2496,
586
+ "step": 790
587
+ },
588
+ {
589
+ "epoch": 0.5144694533762058,
590
+ "grad_norm": 0.4181075096130371,
591
+ "learning_rate": 0.0001556701030927835,
592
+ "loss": 1.2912,
593
+ "step": 800
594
+ },
595
+ {
596
+ "epoch": 0.5144694533762058,
597
+ "eval_loss": 1.2991915941238403,
598
+ "eval_runtime": 340.7607,
599
+ "eval_samples_per_second": 5.869,
600
+ "eval_steps_per_second": 0.734,
601
+ "step": 800
602
+ },
603
+ {
604
+ "epoch": 0.5209003215434084,
605
+ "grad_norm": 0.46053722500801086,
606
+ "learning_rate": 0.0001536082474226804,
607
+ "loss": 1.2695,
608
+ "step": 810
609
+ },
610
+ {
611
+ "epoch": 0.5273311897106109,
612
+ "grad_norm": 0.5585050582885742,
613
+ "learning_rate": 0.0001515463917525773,
614
+ "loss": 1.2968,
615
+ "step": 820
616
+ },
617
+ {
618
+ "epoch": 0.5337620578778135,
619
+ "grad_norm": 0.4734201431274414,
620
+ "learning_rate": 0.00014948453608247422,
621
+ "loss": 1.2478,
622
+ "step": 830
623
+ },
624
+ {
625
+ "epoch": 0.5401929260450161,
626
+ "grad_norm": 0.45543360710144043,
627
+ "learning_rate": 0.0001474226804123711,
628
+ "loss": 1.3217,
629
+ "step": 840
630
+ },
631
+ {
632
+ "epoch": 0.5466237942122186,
633
+ "grad_norm": 0.5416027903556824,
634
+ "learning_rate": 0.00014536082474226803,
635
+ "loss": 1.2522,
636
+ "step": 850
637
+ },
638
+ {
639
+ "epoch": 0.5530546623794212,
640
+ "grad_norm": 0.42681366205215454,
641
+ "learning_rate": 0.00014329896907216494,
642
+ "loss": 1.3112,
643
+ "step": 860
644
+ },
645
+ {
646
+ "epoch": 0.5594855305466238,
647
+ "grad_norm": 0.45384252071380615,
648
+ "learning_rate": 0.00014123711340206183,
649
+ "loss": 1.2793,
650
+ "step": 870
651
+ },
652
+ {
653
+ "epoch": 0.5659163987138264,
654
+ "grad_norm": 0.450888454914093,
655
+ "learning_rate": 0.00013917525773195875,
656
+ "loss": 1.3204,
657
+ "step": 880
658
+ },
659
+ {
660
+ "epoch": 0.572347266881029,
661
+ "grad_norm": 0.4524657428264618,
662
+ "learning_rate": 0.00013711340206185566,
663
+ "loss": 1.272,
664
+ "step": 890
665
+ },
666
+ {
667
+ "epoch": 0.5787781350482315,
668
+ "grad_norm": 0.46384352445602417,
669
+ "learning_rate": 0.00013505154639175258,
670
+ "loss": 1.2948,
671
+ "step": 900
672
+ },
673
+ {
674
+ "epoch": 0.5852090032154341,
675
+ "grad_norm": 0.4582608938217163,
676
+ "learning_rate": 0.00013298969072164947,
677
+ "loss": 1.3027,
678
+ "step": 910
679
+ },
680
+ {
681
+ "epoch": 0.5916398713826366,
682
+ "grad_norm": 0.4848160147666931,
683
+ "learning_rate": 0.00013092783505154639,
684
+ "loss": 1.3172,
685
+ "step": 920
686
+ },
687
+ {
688
+ "epoch": 0.5980707395498392,
689
+ "grad_norm": 0.484418660402298,
690
+ "learning_rate": 0.00012886597938144327,
691
+ "loss": 1.3117,
692
+ "step": 930
693
+ },
694
+ {
695
+ "epoch": 0.6045016077170418,
696
+ "grad_norm": 0.39582470059394836,
697
+ "learning_rate": 0.0001268041237113402,
698
+ "loss": 1.2813,
699
+ "step": 940
700
+ },
701
+ {
702
+ "epoch": 0.6109324758842444,
703
+ "grad_norm": 0.4482058882713318,
704
+ "learning_rate": 0.0001247422680412371,
705
+ "loss": 1.2639,
706
+ "step": 950
707
+ },
708
+ {
709
+ "epoch": 0.617363344051447,
710
+ "grad_norm": 0.49503323435783386,
711
+ "learning_rate": 0.000122680412371134,
712
+ "loss": 1.302,
713
+ "step": 960
714
+ },
715
+ {
716
+ "epoch": 0.6237942122186495,
717
+ "grad_norm": 0.42037469148635864,
718
+ "learning_rate": 0.00012061855670103093,
719
+ "loss": 1.2943,
720
+ "step": 970
721
+ },
722
+ {
723
+ "epoch": 0.6302250803858521,
724
+ "grad_norm": 0.449434757232666,
725
+ "learning_rate": 0.00011855670103092781,
726
+ "loss": 1.2941,
727
+ "step": 980
728
+ },
729
+ {
730
+ "epoch": 0.6366559485530546,
731
+ "grad_norm": 0.44711926579475403,
732
+ "learning_rate": 0.00011649484536082473,
733
+ "loss": 1.2906,
734
+ "step": 990
735
+ },
736
+ {
737
+ "epoch": 0.6430868167202572,
738
+ "grad_norm": 0.43769001960754395,
739
+ "learning_rate": 0.00011443298969072163,
740
+ "loss": 1.3039,
741
+ "step": 1000
742
+ },
743
+ {
744
+ "epoch": 0.6430868167202572,
745
+ "eval_loss": 1.2755881547927856,
746
+ "eval_runtime": 341.9539,
747
+ "eval_samples_per_second": 5.849,
748
+ "eval_steps_per_second": 0.731,
749
+ "step": 1000
750
+ },
751
+ {
752
+ "epoch": 0.6495176848874598,
753
+ "grad_norm": 0.4710148870944977,
754
+ "learning_rate": 0.00011237113402061855,
755
+ "loss": 1.2645,
756
+ "step": 1010
757
+ },
758
+ {
759
+ "epoch": 0.6559485530546624,
760
+ "grad_norm": 0.44989457726478577,
761
+ "learning_rate": 0.00011030927835051547,
762
+ "loss": 1.282,
763
+ "step": 1020
764
+ },
765
+ {
766
+ "epoch": 0.662379421221865,
767
+ "grad_norm": 0.4453730285167694,
768
+ "learning_rate": 0.00010824742268041235,
769
+ "loss": 1.256,
770
+ "step": 1030
771
+ },
772
+ {
773
+ "epoch": 0.6688102893890675,
774
+ "grad_norm": 0.5148506164550781,
775
+ "learning_rate": 0.00010618556701030927,
776
+ "loss": 1.2541,
777
+ "step": 1040
778
+ },
779
+ {
780
+ "epoch": 0.6752411575562701,
781
+ "grad_norm": 0.43415772914886475,
782
+ "learning_rate": 0.00010412371134020617,
783
+ "loss": 1.2902,
784
+ "step": 1050
785
+ },
786
+ {
787
+ "epoch": 0.6816720257234726,
788
+ "grad_norm": 0.4594573974609375,
789
+ "learning_rate": 0.00010206185567010309,
790
+ "loss": 1.2425,
791
+ "step": 1060
792
+ },
793
+ {
794
+ "epoch": 0.6881028938906752,
795
+ "grad_norm": 0.4503769278526306,
796
+ "learning_rate": 9.999999999999999e-05,
797
+ "loss": 1.2896,
798
+ "step": 1070
799
+ },
800
+ {
801
+ "epoch": 0.6945337620578779,
802
+ "grad_norm": 0.4645858407020569,
803
+ "learning_rate": 9.79381443298969e-05,
804
+ "loss": 1.2735,
805
+ "step": 1080
806
+ },
807
+ {
808
+ "epoch": 0.7009646302250804,
809
+ "grad_norm": 0.48965829610824585,
810
+ "learning_rate": 9.58762886597938e-05,
811
+ "loss": 1.3047,
812
+ "step": 1090
813
+ },
814
+ {
815
+ "epoch": 0.707395498392283,
816
+ "grad_norm": 0.46829336881637573,
817
+ "learning_rate": 9.381443298969071e-05,
818
+ "loss": 1.2751,
819
+ "step": 1100
820
+ },
821
+ {
822
+ "epoch": 0.7138263665594855,
823
+ "grad_norm": 0.4561706483364105,
824
+ "learning_rate": 9.175257731958763e-05,
825
+ "loss": 1.2858,
826
+ "step": 1110
827
+ },
828
+ {
829
+ "epoch": 0.7202572347266881,
830
+ "grad_norm": 0.4418432414531708,
831
+ "learning_rate": 8.969072164948453e-05,
832
+ "loss": 1.2254,
833
+ "step": 1120
834
+ },
835
+ {
836
+ "epoch": 0.7266881028938906,
837
+ "grad_norm": 0.46051761507987976,
838
+ "learning_rate": 8.762886597938145e-05,
839
+ "loss": 1.2198,
840
+ "step": 1130
841
+ },
842
+ {
843
+ "epoch": 0.7331189710610932,
844
+ "grad_norm": 0.48182615637779236,
845
+ "learning_rate": 8.556701030927834e-05,
846
+ "loss": 1.2631,
847
+ "step": 1140
848
+ },
849
+ {
850
+ "epoch": 0.7395498392282959,
851
+ "grad_norm": 0.42658165097236633,
852
+ "learning_rate": 8.350515463917525e-05,
853
+ "loss": 1.2667,
854
+ "step": 1150
855
+ },
856
+ {
857
+ "epoch": 0.7459807073954984,
858
+ "grad_norm": 0.48048514127731323,
859
+ "learning_rate": 8.144329896907215e-05,
860
+ "loss": 1.27,
861
+ "step": 1160
862
+ },
863
+ {
864
+ "epoch": 0.752411575562701,
865
+ "grad_norm": 0.4658808410167694,
866
+ "learning_rate": 7.938144329896907e-05,
867
+ "loss": 1.2778,
868
+ "step": 1170
869
+ },
870
+ {
871
+ "epoch": 0.7588424437299035,
872
+ "grad_norm": 0.47830724716186523,
873
+ "learning_rate": 7.731958762886596e-05,
874
+ "loss": 1.2327,
875
+ "step": 1180
876
+ },
877
+ {
878
+ "epoch": 0.7652733118971061,
879
+ "grad_norm": 0.4181123971939087,
880
+ "learning_rate": 7.525773195876288e-05,
881
+ "loss": 1.2559,
882
+ "step": 1190
883
+ },
884
+ {
885
+ "epoch": 0.7717041800643086,
886
+ "grad_norm": 0.46117720007896423,
887
+ "learning_rate": 7.319587628865979e-05,
888
+ "loss": 1.2572,
889
+ "step": 1200
890
+ },
891
+ {
892
+ "epoch": 0.7717041800643086,
893
+ "eval_loss": 1.2570642232894897,
894
+ "eval_runtime": 340.7404,
895
+ "eval_samples_per_second": 5.87,
896
+ "eval_steps_per_second": 0.734,
897
+ "step": 1200
898
+ },
899
+ {
900
+ "epoch": 0.7781350482315113,
901
+ "grad_norm": 0.4613102078437805,
902
+ "learning_rate": 7.11340206185567e-05,
903
+ "loss": 1.2659,
904
+ "step": 1210
905
+ },
906
+ {
907
+ "epoch": 0.7845659163987139,
908
+ "grad_norm": 0.4278354346752167,
909
+ "learning_rate": 6.90721649484536e-05,
910
+ "loss": 1.2858,
911
+ "step": 1220
912
+ },
913
+ {
914
+ "epoch": 0.7909967845659164,
915
+ "grad_norm": 0.4664517343044281,
916
+ "learning_rate": 6.701030927835051e-05,
917
+ "loss": 1.293,
918
+ "step": 1230
919
+ },
920
+ {
921
+ "epoch": 0.797427652733119,
922
+ "grad_norm": 0.44390469789505005,
923
+ "learning_rate": 6.494845360824742e-05,
924
+ "loss": 1.2234,
925
+ "step": 1240
926
+ },
927
+ {
928
+ "epoch": 0.8038585209003215,
929
+ "grad_norm": 0.4815686345100403,
930
+ "learning_rate": 6.288659793814433e-05,
931
+ "loss": 1.2891,
932
+ "step": 1250
933
+ },
934
+ {
935
+ "epoch": 0.8102893890675241,
936
+ "grad_norm": 0.43138524889945984,
937
+ "learning_rate": 6.0824742268041234e-05,
938
+ "loss": 1.2344,
939
+ "step": 1260
940
+ },
941
+ {
942
+ "epoch": 0.8167202572347267,
943
+ "grad_norm": 0.49563485383987427,
944
+ "learning_rate": 5.8762886597938136e-05,
945
+ "loss": 1.2214,
946
+ "step": 1270
947
+ },
948
+ {
949
+ "epoch": 0.8231511254019293,
950
+ "grad_norm": 0.4346306324005127,
951
+ "learning_rate": 5.6701030927835046e-05,
952
+ "loss": 1.2804,
953
+ "step": 1280
954
+ },
955
+ {
956
+ "epoch": 0.8295819935691319,
957
+ "grad_norm": 0.4574083685874939,
958
+ "learning_rate": 5.463917525773195e-05,
959
+ "loss": 1.237,
960
+ "step": 1290
961
+ },
962
+ {
963
+ "epoch": 0.8360128617363344,
964
+ "grad_norm": 0.43636971712112427,
965
+ "learning_rate": 5.257731958762886e-05,
966
+ "loss": 1.218,
967
+ "step": 1300
968
+ },
969
+ {
970
+ "epoch": 0.842443729903537,
971
+ "grad_norm": 0.411658376455307,
972
+ "learning_rate": 5.051546391752577e-05,
973
+ "loss": 1.2383,
974
+ "step": 1310
975
+ },
976
+ {
977
+ "epoch": 0.8488745980707395,
978
+ "grad_norm": 0.4198724627494812,
979
+ "learning_rate": 4.8453608247422676e-05,
980
+ "loss": 1.2599,
981
+ "step": 1320
982
+ },
983
+ {
984
+ "epoch": 0.8553054662379421,
985
+ "grad_norm": 0.4522201418876648,
986
+ "learning_rate": 4.6391752577319585e-05,
987
+ "loss": 1.2277,
988
+ "step": 1330
989
+ },
990
+ {
991
+ "epoch": 0.8617363344051447,
992
+ "grad_norm": 0.4966380298137665,
993
+ "learning_rate": 4.4329896907216494e-05,
994
+ "loss": 1.2268,
995
+ "step": 1340
996
+ },
997
+ {
998
+ "epoch": 0.8681672025723473,
999
+ "grad_norm": 0.4492814838886261,
1000
+ "learning_rate": 4.22680412371134e-05,
1001
+ "loss": 1.2589,
1002
+ "step": 1350
1003
+ },
1004
+ {
1005
+ "epoch": 0.8745980707395499,
1006
+ "grad_norm": 0.4740350544452667,
1007
+ "learning_rate": 4.0206185567010306e-05,
1008
+ "loss": 1.2196,
1009
+ "step": 1360
1010
+ },
1011
+ {
1012
+ "epoch": 0.8810289389067524,
1013
+ "grad_norm": 0.46403658390045166,
1014
+ "learning_rate": 3.814432989690721e-05,
1015
+ "loss": 1.2811,
1016
+ "step": 1370
1017
+ },
1018
+ {
1019
+ "epoch": 0.887459807073955,
1020
+ "grad_norm": 0.46236127614974976,
1021
+ "learning_rate": 3.608247422680412e-05,
1022
+ "loss": 1.2403,
1023
+ "step": 1380
1024
+ },
1025
+ {
1026
+ "epoch": 0.8938906752411575,
1027
+ "grad_norm": 0.44528549909591675,
1028
+ "learning_rate": 3.402061855670103e-05,
1029
+ "loss": 1.2374,
1030
+ "step": 1390
1031
+ },
1032
+ {
1033
+ "epoch": 0.9003215434083601,
1034
+ "grad_norm": 0.4524483382701874,
1035
+ "learning_rate": 3.1958762886597937e-05,
1036
+ "loss": 1.2833,
1037
+ "step": 1400
1038
+ },
1039
+ {
1040
+ "epoch": 0.9003215434083601,
1041
+ "eval_loss": 1.2448393106460571,
1042
+ "eval_runtime": 340.581,
1043
+ "eval_samples_per_second": 5.872,
1044
+ "eval_steps_per_second": 0.734,
1045
+ "step": 1400
1046
+ }
1047
+ ],
1048
+ "logging_steps": 10,
1049
+ "max_steps": 1555,
1050
+ "num_input_tokens_seen": 0,
1051
+ "num_train_epochs": 1,
1052
+ "save_steps": 200,
1053
+ "stateful_callbacks": {
1054
+ "TrainerControl": {
1055
+ "args": {
1056
+ "should_epoch_stop": false,
1057
+ "should_evaluate": false,
1058
+ "should_log": false,
1059
+ "should_save": true,
1060
+ "should_training_stop": false
1061
+ },
1062
+ "attributes": {}
1063
+ }
1064
+ },
1065
+ "total_flos": 1.1406337433445335e+18,
1066
+ "train_batch_size": 8,
1067
+ "trial_name": null,
1068
+ "trial_params": null
1069
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e7a9caa8c50cfbf8df28956019f0a54f647241a1bf27c1773187eda7f5dbc36
3
+ size 5048