Training in progress, step 1200, checkpoint

checkpoint-1200/README.md

@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: exontidev/SISUS_SIKERS
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.10.0

checkpoint-1200/adapter_config.json

@@ -0,0 +1,28 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "exontidev/SISUS_SIKERS",
+  "bias": "none",
+  "fan_in_fan_out": true,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "c_attn"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-1200/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7dc737053e9be0a22f3a278fa12123ec3b53534f40ca1a2ba5bf44970983b4b
+size 9443384

checkpoint-1200/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9734be5b15fa94998a36ec1b3ed8eceb179c201dabfc66603ed81144525c8864
+size 18914450

checkpoint-1200/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f4c358c2b9d3d3c473794f88f92dc9ec550ac9f35e06944f611cc9b1af96fd7
+size 14168

checkpoint-1200/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aaffe40cd236c13bfee357290120896cd5adf9da03e6a96eca7e6ff2faafa1f2
+size 1056

checkpoint-1200/trainer_state.json

@@ -0,0 +1,861 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 51.97127937336815,
+  "eval_steps": 500,
+  "global_step": 1200,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.4177545691906005,
+      "grad_norm": 0.28227752447128296,
+      "learning_rate": 2.9999999999999997e-05,
+      "loss": 4.1508,
+      "step": 10
+    },
+    {
+      "epoch": 0.835509138381201,
+      "grad_norm": 0.31433430314064026,
+      "learning_rate": 5.9999999999999995e-05,
+      "loss": 4.1593,
+      "step": 20
+    },
+    {
+      "epoch": 1.2532637075718016,
+      "grad_norm": 0.3350953161716461,
+      "learning_rate": 8.999999999999999e-05,
+      "loss": 4.0414,
+      "step": 30
+    },
+    {
+      "epoch": 1.671018276762402,
+      "grad_norm": 0.2885706126689911,
+      "learning_rate": 0.00011999999999999999,
+      "loss": 3.8411,
+      "step": 40
+    },
+    {
+      "epoch": 2.0887728459530024,
+      "grad_norm": 0.23711609840393066,
+      "learning_rate": 0.00015,
+      "loss": 3.6434,
+      "step": 50
+    },
+    {
+      "epoch": 2.506527415143603,
+      "grad_norm": 0.21583135426044464,
+      "learning_rate": 0.00017999999999999998,
+      "loss": 3.4636,
+      "step": 60
+    },
+    {
+      "epoch": 2.9242819843342036,
+      "grad_norm": 0.18754692375659943,
+      "learning_rate": 0.00020999999999999998,
+      "loss": 3.3154,
+      "step": 70
+    },
+    {
+      "epoch": 3.342036553524804,
+      "grad_norm": 0.15951760113239288,
+      "learning_rate": 0.00023999999999999998,
+      "loss": 3.2195,
+      "step": 80
+    },
+    {
+      "epoch": 3.759791122715405,
+      "grad_norm": 0.14639759063720703,
+      "learning_rate": 0.00027,
+      "loss": 3.122,
+      "step": 90
+    },
+    {
+      "epoch": 4.177545691906005,
+      "grad_norm": 0.1860765665769577,
+      "learning_rate": 0.0003,
+      "loss": 3.0677,
+      "step": 100
+    },
+    {
+      "epoch": 4.595300261096606,
+      "grad_norm": 0.1737535446882248,
+      "learning_rate": 0.000285,
+      "loss": 2.9992,
+      "step": 110
+    },
+    {
+      "epoch": 5.013054830287206,
+      "grad_norm": 0.181383416056633,
+      "learning_rate": 0.00027,
+      "loss": 2.9761,
+      "step": 120
+    },
+    {
+      "epoch": 5.430809399477806,
+      "grad_norm": 0.1873219609260559,
+      "learning_rate": 0.00025499999999999996,
+      "loss": 2.9281,
+      "step": 130
+    },
+    {
+      "epoch": 5.848563968668407,
+      "grad_norm": 0.19864186644554138,
+      "learning_rate": 0.00023999999999999998,
+      "loss": 2.9168,
+      "step": 140
+    },
+    {
+      "epoch": 6.266318537859008,
+      "grad_norm": 0.22326301038265228,
+      "learning_rate": 0.000225,
+      "loss": 2.8549,
+      "step": 150
+    },
+    {
+      "epoch": 6.684073107049608,
+      "grad_norm": 0.2200121283531189,
+      "learning_rate": 0.00020999999999999998,
+      "loss": 2.855,
+      "step": 160
+    },
+    {
+      "epoch": 7.101827676240209,
+      "grad_norm": 0.2546086311340332,
+      "learning_rate": 0.000195,
+      "loss": 2.8509,
+      "step": 170
+    },
+    {
+      "epoch": 7.51958224543081,
+      "grad_norm": 0.26345309615135193,
+      "learning_rate": 0.00017999999999999998,
+      "loss": 2.8144,
+      "step": 180
+    },
+    {
+      "epoch": 7.93733681462141,
+      "grad_norm": 0.21533280611038208,
+      "learning_rate": 0.000165,
+      "loss": 2.8006,
+      "step": 190
+    },
+    {
+      "epoch": 8.35509138381201,
+      "grad_norm": 0.2510657012462616,
+      "learning_rate": 0.00015,
+      "loss": 2.7816,
+      "step": 200
+    },
+    {
+      "epoch": 8.77284595300261,
+      "grad_norm": 0.23468665778636932,
+      "learning_rate": 0.000135,
+      "loss": 2.7762,
+      "step": 210
+    },
+    {
+      "epoch": 9.190600522193211,
+      "grad_norm": 0.23014432191848755,
+      "learning_rate": 0.00011999999999999999,
+      "loss": 2.7731,
+      "step": 220
+    },
+    {
+      "epoch": 9.608355091383812,
+      "grad_norm": 0.247611865401268,
+      "learning_rate": 0.00010499999999999999,
+      "loss": 2.742,
+      "step": 230
+    },
+    {
+      "epoch": 10.026109660574413,
+      "grad_norm": 0.2899376451969147,
+      "learning_rate": 8.999999999999999e-05,
+      "loss": 2.763,
+      "step": 240
+    },
+    {
+      "epoch": 10.443864229765014,
+      "grad_norm": 0.24601446092128754,
+      "learning_rate": 7.5e-05,
+      "loss": 2.7529,
+      "step": 250
+    },
+    {
+      "epoch": 10.861618798955613,
+      "grad_norm": 0.2344890832901001,
+      "learning_rate": 5.9999999999999995e-05,
+      "loss": 2.7373,
+      "step": 260
+    },
+    {
+      "epoch": 11.279373368146214,
+      "grad_norm": 0.22882166504859924,
+      "learning_rate": 4.4999999999999996e-05,
+      "loss": 2.7427,
+      "step": 270
+    },
+    {
+      "epoch": 11.697127937336814,
+      "grad_norm": 0.26199406385421753,
+      "learning_rate": 2.9999999999999997e-05,
+      "loss": 2.6814,
+      "step": 280
+    },
+    {
+      "epoch": 12.114882506527415,
+      "grad_norm": 0.2374505251646042,
+      "learning_rate": 1.4999999999999999e-05,
+      "loss": 2.758,
+      "step": 290
+    },
+    {
+      "epoch": 12.532637075718016,
+      "grad_norm": 0.2393040806055069,
+      "learning_rate": 0.0,
+      "loss": 2.7284,
+      "step": 300
+    },
+    {
+      "epoch": 13.459530026109661,
+      "grad_norm": 0.2965029180049896,
+      "learning_rate": 0.0002668421052631579,
+      "loss": 2.7219,
+      "step": 310
+    },
+    {
+      "epoch": 13.877284595300262,
+      "grad_norm": 0.2831190526485443,
+      "learning_rate": 0.0002652631578947368,
+      "loss": 2.7316,
+      "step": 320
+    },
+    {
+      "epoch": 14.295039164490861,
+      "grad_norm": 0.29041996598243713,
+      "learning_rate": 0.00026368421052631576,
+      "loss": 2.6869,
+      "step": 330
+    },
+    {
+      "epoch": 14.712793733681462,
+      "grad_norm": 0.27796632051467896,
+      "learning_rate": 0.0002621052631578947,
+      "loss": 2.7045,
+      "step": 340
+    },
+    {
+      "epoch": 15.130548302872063,
+      "grad_norm": 0.30092301964759827,
+      "learning_rate": 0.0002605263157894737,
+      "loss": 2.6589,
+      "step": 350
+    },
+    {
+      "epoch": 15.548302872062663,
+      "grad_norm": 0.33648282289505005,
+      "learning_rate": 0.0002589473684210526,
+      "loss": 2.6811,
+      "step": 360
+    },
+    {
+      "epoch": 15.966057441253264,
+      "grad_norm": 0.3513476550579071,
+      "learning_rate": 0.00025736842105263157,
+      "loss": 2.6424,
+      "step": 370
+    },
+    {
+      "epoch": 16.383812010443865,
+      "grad_norm": 0.366802453994751,
+      "learning_rate": 0.0002557894736842105,
+      "loss": 2.6225,
+      "step": 380
+    },
+    {
+      "epoch": 16.801566579634464,
+      "grad_norm": 0.3507522642612457,
+      "learning_rate": 0.00025421052631578945,
+      "loss": 2.6693,
+      "step": 390
+    },
+    {
+      "epoch": 17.219321148825067,
+      "grad_norm": 0.32098060846328735,
+      "learning_rate": 0.00025263157894736836,
+      "loss": 2.6372,
+      "step": 400
+    },
+    {
+      "epoch": 17.637075718015666,
+      "grad_norm": 0.34954994916915894,
+      "learning_rate": 0.0002510526315789474,
+      "loss": 2.6057,
+      "step": 410
+    },
+    {
+      "epoch": 18.054830287206265,
+      "grad_norm": 0.3401590585708618,
+      "learning_rate": 0.0002494736842105263,
+      "loss": 2.6224,
+      "step": 420
+    },
+    {
+      "epoch": 18.472584856396868,
+      "grad_norm": 0.3732793927192688,
+      "learning_rate": 0.00024789473684210526,
+      "loss": 2.5845,
+      "step": 430
+    },
+    {
+      "epoch": 18.890339425587467,
+      "grad_norm": 0.3447878956794739,
+      "learning_rate": 0.00024631578947368417,
+      "loss": 2.5766,
+      "step": 440
+    },
+    {
+      "epoch": 19.30809399477807,
+      "grad_norm": 0.4215945899486542,
+      "learning_rate": 0.00024473684210526314,
+      "loss": 2.5784,
+      "step": 450
+    },
+    {
+      "epoch": 19.72584856396867,
+      "grad_norm": 0.44425827264785767,
+      "learning_rate": 0.00024315789473684207,
+      "loss": 2.5752,
+      "step": 460
+    },
+    {
+      "epoch": 20.143603133159267,
+      "grad_norm": 0.38389045000076294,
+      "learning_rate": 0.000241578947368421,
+      "loss": 2.5828,
+      "step": 470
+    },
+    {
+      "epoch": 20.56135770234987,
+      "grad_norm": 0.3717693090438843,
+      "learning_rate": 0.00023999999999999998,
+      "loss": 2.5507,
+      "step": 480
+    },
+    {
+      "epoch": 20.97911227154047,
+      "grad_norm": 0.3933301568031311,
+      "learning_rate": 0.00023842105263157895,
+      "loss": 2.5479,
+      "step": 490
+    },
+    {
+      "epoch": 21.39686684073107,
+      "grad_norm": 0.3996904790401459,
+      "learning_rate": 0.00023684210526315788,
+      "loss": 2.5408,
+      "step": 500
+    },
+    {
+      "epoch": 21.81462140992167,
+      "grad_norm": 0.3934177756309509,
+      "learning_rate": 0.00023526315789473682,
+      "loss": 2.5463,
+      "step": 510
+    },
+    {
+      "epoch": 22.232375979112273,
+      "grad_norm": 0.42467737197875977,
+      "learning_rate": 0.00023368421052631576,
+      "loss": 2.5392,
+      "step": 520
+    },
+    {
+      "epoch": 22.650130548302872,
+      "grad_norm": 0.38297030329704285,
+      "learning_rate": 0.0002321052631578947,
+      "loss": 2.5204,
+      "step": 530
+    },
+    {
+      "epoch": 23.06788511749347,
+      "grad_norm": 0.39583373069763184,
+      "learning_rate": 0.00023052631578947364,
+      "loss": 2.5195,
+      "step": 540
+    },
+    {
+      "epoch": 23.485639686684074,
+      "grad_norm": 0.3692266345024109,
+      "learning_rate": 0.00022894736842105263,
+      "loss": 2.5091,
+      "step": 550
+    },
+    {
+      "epoch": 23.903394255874673,
+      "grad_norm": 0.34597283601760864,
+      "learning_rate": 0.00022736842105263157,
+      "loss": 2.5011,
+      "step": 560
+    },
+    {
+      "epoch": 24.321148825065276,
+      "grad_norm": 0.3991779088973999,
+      "learning_rate": 0.0002257894736842105,
+      "loss": 2.4919,
+      "step": 570
+    },
+    {
+      "epoch": 24.738903394255875,
+      "grad_norm": 0.37865138053894043,
+      "learning_rate": 0.00022421052631578945,
+      "loss": 2.4943,
+      "step": 580
+    },
+    {
+      "epoch": 25.156657963446474,
+      "grad_norm": 0.41416704654693604,
+      "learning_rate": 0.0002226315789473684,
+      "loss": 2.4847,
+      "step": 590
+    },
+    {
+      "epoch": 25.574412532637076,
+      "grad_norm": 0.37662285566329956,
+      "learning_rate": 0.00022105263157894733,
+      "loss": 2.4836,
+      "step": 600
+    },
+    {
+      "epoch": 25.992167101827675,
+      "grad_norm": 0.4186669588088989,
+      "learning_rate": 0.00021947368421052632,
+      "loss": 2.4627,
+      "step": 610
+    },
+    {
+      "epoch": 26.409921671018278,
+      "grad_norm": 0.3905445337295532,
+      "learning_rate": 0.00021789473684210526,
+      "loss": 2.4616,
+      "step": 620
+    },
+    {
+      "epoch": 26.827676240208877,
+      "grad_norm": 0.45327094197273254,
+      "learning_rate": 0.0002163157894736842,
+      "loss": 2.4777,
+      "step": 630
+    },
+    {
+      "epoch": 27.245430809399476,
+      "grad_norm": 0.43680539727211,
+      "learning_rate": 0.00021473684210526314,
+      "loss": 2.4654,
+      "step": 640
+    },
+    {
+      "epoch": 27.66318537859008,
+      "grad_norm": 0.36886611580848694,
+      "learning_rate": 0.00021315789473684208,
+      "loss": 2.4511,
+      "step": 650
+    },
+    {
+      "epoch": 28.080939947780678,
+      "grad_norm": 0.36019206047058105,
+      "learning_rate": 0.00021157894736842102,
+      "loss": 2.4343,
+      "step": 660
+    },
+    {
+      "epoch": 28.49869451697128,
+      "grad_norm": 0.39306387305259705,
+      "learning_rate": 0.00020999999999999998,
+      "loss": 2.443,
+      "step": 670
+    },
+    {
+      "epoch": 28.91644908616188,
+      "grad_norm": 0.38716623187065125,
+      "learning_rate": 0.00020842105263157895,
+      "loss": 2.4417,
+      "step": 680
+    },
+    {
+      "epoch": 29.334203655352482,
+      "grad_norm": 0.38376671075820923,
+      "learning_rate": 0.0002068421052631579,
+      "loss": 2.4234,
+      "step": 690
+    },
+    {
+      "epoch": 29.75195822454308,
+      "grad_norm": 0.39722415804862976,
+      "learning_rate": 0.00020526315789473683,
+      "loss": 2.4229,
+      "step": 700
+    },
+    {
+      "epoch": 30.8355091383812,
+      "grad_norm": 0.39840930700302124,
+      "learning_rate": 0.00020368421052631576,
+      "loss": 2.4198,
+      "step": 710
+    },
+    {
+      "epoch": 31.2532637075718,
+      "grad_norm": 0.3548623323440552,
+      "learning_rate": 0.0002021052631578947,
+      "loss": 2.415,
+      "step": 720
+    },
+    {
+      "epoch": 31.671018276762403,
+      "grad_norm": 0.37791335582733154,
+      "learning_rate": 0.00020052631578947367,
+      "loss": 2.4184,
+      "step": 730
+    },
+    {
+      "epoch": 32.088772845953,
+      "grad_norm": 0.4041711688041687,
+      "learning_rate": 0.0001989473684210526,
+      "loss": 2.3749,
+      "step": 740
+    },
+    {
+      "epoch": 32.5065274151436,
+      "grad_norm": 0.37801074981689453,
+      "learning_rate": 0.00019736842105263157,
+      "loss": 2.3959,
+      "step": 750
+    },
+    {
+      "epoch": 32.9242819843342,
+      "grad_norm": 0.3841933310031891,
+      "learning_rate": 0.0001957894736842105,
+      "loss": 2.4193,
+      "step": 760
+    },
+    {
+      "epoch": 33.34203655352481,
+      "grad_norm": 0.4326969385147095,
+      "learning_rate": 0.00019421052631578945,
+      "loss": 2.3801,
+      "step": 770
+    },
+    {
+      "epoch": 33.759791122715406,
+      "grad_norm": 0.41781577467918396,
+      "learning_rate": 0.0001926315789473684,
+      "loss": 2.3941,
+      "step": 780
+    },
+    {
+      "epoch": 34.177545691906005,
+      "grad_norm": 0.3655799925327301,
+      "learning_rate": 0.00019105263157894736,
+      "loss": 2.3998,
+      "step": 790
+    },
+    {
+      "epoch": 34.595300261096604,
+      "grad_norm": 0.41886845231056213,
+      "learning_rate": 0.0001894736842105263,
+      "loss": 2.3642,
+      "step": 800
+    },
+    {
+      "epoch": 35.0130548302872,
+      "grad_norm": 0.4033879041671753,
+      "learning_rate": 0.00018789473684210524,
+      "loss": 2.3635,
+      "step": 810
+    },
+    {
+      "epoch": 35.43080939947781,
+      "grad_norm": 0.40223613381385803,
+      "learning_rate": 0.0001863157894736842,
+      "loss": 2.3686,
+      "step": 820
+    },
+    {
+      "epoch": 35.84856396866841,
+      "grad_norm": 0.42818790674209595,
+      "learning_rate": 0.00018473684210526314,
+      "loss": 2.3665,
+      "step": 830
+    },
+    {
+      "epoch": 36.26631853785901,
+      "grad_norm": 0.4297718405723572,
+      "learning_rate": 0.00018315789473684208,
+      "loss": 2.3625,
+      "step": 840
+    },
+    {
+      "epoch": 36.684073107049606,
+      "grad_norm": 0.41340720653533936,
+      "learning_rate": 0.00018157894736842105,
+      "loss": 2.3729,
+      "step": 850
+    },
+    {
+      "epoch": 37.10182767624021,
+      "grad_norm": 0.4357605576515198,
+      "learning_rate": 0.00017999999999999998,
+      "loss": 2.3362,
+      "step": 860
+    },
+    {
+      "epoch": 37.51958224543081,
+      "grad_norm": 0.4296557605266571,
+      "learning_rate": 0.00017842105263157892,
+      "loss": 2.3099,
+      "step": 870
+    },
+    {
+      "epoch": 37.93733681462141,
+      "grad_norm": 0.4468984305858612,
+      "learning_rate": 0.00017684210526315786,
+      "loss": 2.3713,
+      "step": 880
+    },
+    {
+      "epoch": 38.35509138381201,
+      "grad_norm": 0.4298686683177948,
+      "learning_rate": 0.00017526315789473683,
+      "loss": 2.3607,
+      "step": 890
+    },
+    {
+      "epoch": 38.77284595300261,
+      "grad_norm": 0.4179350435733795,
+      "learning_rate": 0.0001736842105263158,
+      "loss": 2.3186,
+      "step": 900
+    },
+    {
+      "epoch": 39.190600522193215,
+      "grad_norm": 0.3968249261379242,
+      "learning_rate": 0.00017210526315789473,
+      "loss": 2.3505,
+      "step": 910
+    },
+    {
+      "epoch": 39.608355091383814,
+      "grad_norm": 0.40423065423965454,
+      "learning_rate": 0.00017052631578947367,
+      "loss": 2.3414,
+      "step": 920
+    },
+    {
+      "epoch": 40.02610966057441,
+      "grad_norm": 0.42887982726097107,
+      "learning_rate": 0.0001689473684210526,
+      "loss": 2.3221,
+      "step": 930
+    },
+    {
+      "epoch": 40.44386422976501,
+      "grad_norm": 0.4936973452568054,
+      "learning_rate": 0.00016736842105263155,
+      "loss": 2.3082,
+      "step": 940
+    },
+    {
+      "epoch": 40.86161879895561,
+      "grad_norm": 0.39211633801460266,
+      "learning_rate": 0.00016578947368421052,
+      "loss": 2.3249,
+      "step": 950
+    },
+    {
+      "epoch": 41.27937336814622,
+      "grad_norm": 0.3981688916683197,
+      "learning_rate": 0.00016421052631578948,
+      "loss": 2.2999,
+      "step": 960
+    },
+    {
+      "epoch": 41.697127937336816,
+      "grad_norm": 0.42434969544410706,
+      "learning_rate": 0.00016263157894736842,
+      "loss": 2.3225,
+      "step": 970
+    },
+    {
+      "epoch": 42.114882506527415,
+      "grad_norm": 0.4085942208766937,
+      "learning_rate": 0.00016105263157894736,
+      "loss": 2.3113,
+      "step": 980
+    },
+    {
+      "epoch": 42.532637075718014,
+      "grad_norm": 0.44574835896492004,
+      "learning_rate": 0.0001594736842105263,
+      "loss": 2.3211,
+      "step": 990
+    },
+    {
+      "epoch": 42.95039164490861,
+      "grad_norm": 0.4391286075115204,
+      "learning_rate": 0.00015789473684210524,
+      "loss": 2.2893,
+      "step": 1000
+    },
+    {
+      "epoch": 43.36814621409922,
+      "grad_norm": 0.4376542866230011,
+      "learning_rate": 0.00015631578947368418,
+      "loss": 2.2774,
+      "step": 1010
+    },
+    {
+      "epoch": 43.78590078328982,
+      "grad_norm": 0.47575268149375916,
+      "learning_rate": 0.00015473684210526317,
+      "loss": 2.3193,
+      "step": 1020
+    },
+    {
+      "epoch": 44.20365535248042,
+      "grad_norm": 0.46462905406951904,
+      "learning_rate": 0.0001531578947368421,
+      "loss": 2.2713,
+      "step": 1030
+    },
+    {
+      "epoch": 44.62140992167102,
+      "grad_norm": 0.42894020676612854,
+      "learning_rate": 0.00015157894736842105,
+      "loss": 2.3082,
+      "step": 1040
+    },
+    {
+      "epoch": 45.039164490861616,
+      "grad_norm": 0.41724729537963867,
+      "learning_rate": 0.00015,
+      "loss": 2.282,
+      "step": 1050
+    },
+    {
+      "epoch": 45.45691906005222,
+      "grad_norm": 0.4280991554260254,
+      "learning_rate": 0.00014842105263157893,
+      "loss": 2.2724,
+      "step": 1060
+    },
+    {
+      "epoch": 45.87467362924282,
+      "grad_norm": 0.4132491946220398,
+      "learning_rate": 0.0001468421052631579,
+      "loss": 2.2808,
+      "step": 1070
+    },
+    {
+      "epoch": 46.29242819843342,
+      "grad_norm": 0.41796839237213135,
+      "learning_rate": 0.00014526315789473683,
+      "loss": 2.2805,
+      "step": 1080
+    },
+    {
+      "epoch": 46.71018276762402,
+      "grad_norm": 0.44347137212753296,
+      "learning_rate": 0.00014368421052631577,
+      "loss": 2.2488,
+      "step": 1090
+    },
+    {
+      "epoch": 47.12793733681462,
+      "grad_norm": 0.44872087240219116,
+      "learning_rate": 0.0001421052631578947,
+      "loss": 2.2868,
+      "step": 1100
+    },
+    {
+      "epoch": 48.21148825065274,
+      "grad_norm": 0.4230802655220032,
+      "learning_rate": 0.00014052631578947367,
+      "loss": 2.2684,
+      "step": 1110
+    },
+    {
+      "epoch": 48.62924281984334,
+      "grad_norm": 0.4060306251049042,
+      "learning_rate": 0.00013894736842105261,
+      "loss": 2.2471,
+      "step": 1120
+    },
+    {
+      "epoch": 49.04699738903394,
+      "grad_norm": 0.4556446671485901,
+      "learning_rate": 0.00013736842105263155,
+      "loss": 2.294,
+      "step": 1130
+    },
+    {
+      "epoch": 49.46475195822455,
+      "grad_norm": 0.4339825510978699,
+      "learning_rate": 0.00013578947368421052,
+      "loss": 2.242,
+      "step": 1140
+    },
+    {
+      "epoch": 49.882506527415146,
+      "grad_norm": 0.4528680741786957,
+      "learning_rate": 0.00013421052631578946,
+      "loss": 2.2637,
+      "step": 1150
+    },
+    {
+      "epoch": 50.300261096605745,
+      "grad_norm": 0.4693712294101715,
+      "learning_rate": 0.0001326315789473684,
+      "loss": 2.2601,
+      "step": 1160
+    },
+    {
+      "epoch": 50.718015665796344,
+      "grad_norm": 0.4447150230407715,
+      "learning_rate": 0.00013105263157894736,
+      "loss": 2.2732,
+      "step": 1170
+    },
+    {
+      "epoch": 51.13577023498694,
+      "grad_norm": 0.41829752922058105,
+      "learning_rate": 0.0001294736842105263,
+      "loss": 2.2269,
+      "step": 1180
+    },
+    {
+      "epoch": 51.55352480417755,
+      "grad_norm": 0.48798778653144836,
+      "learning_rate": 0.00012789473684210524,
+      "loss": 2.2448,
+      "step": 1190
+    },
+    {
+      "epoch": 51.97127937336815,
+      "grad_norm": 0.4357990622520447,
+      "learning_rate": 0.00012631578947368418,
+      "loss": 2.2459,
+      "step": 1200
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 2000,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 87,
+  "save_steps": 100,
+  "total_flos": 1.9374365904611328e+17,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-1200/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c63ac7c2bd705393dde938a66427c5743b41454ce9c4b278998332b34702761d
+size 5024