step 1000

checkpoint-1000/README.md

@@ -0,0 +1,208 @@
+---
+base_model: unsloth/orpheus-3b-0.1-pretrained
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:unsloth/orpheus-3b-0.1-pretrained
+- lora
+- transformers
+- unsloth
+---
+
+# 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 0.19.1

checkpoint-1000/adapter_config.json

@@ -0,0 +1,52 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "LlamaForCausalLM",
+    "parent_library": "transformers.models.llama.modeling_llama",
+    "unsloth_fixed": true
+  },
+  "base_model_name_or_path": "unsloth/orpheus-3b-0.1-pretrained",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_bias": false,
+  "lora_dropout": 0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.19.1",
+  "qalora_group_size": 16,
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "o_proj",
+    "k_proj",
+    "gate_proj",
+    "q_proj",
+    "up_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoint-1000/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6eef9d96f610372055871ebe33ae6238d647f8fa6b4de8354d713898265ff3c3
+size 2317553416

checkpoint-1000/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6ceebe3ce3a499e442347043de58b584f416d181eba805e0cd72dd272951339
+size 778380091

checkpoint-1000/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:69d7ebf37e9725cb970be949af23576e43ac187ab6d5512fcf6cb0d5dd8708bf
+size 14917

checkpoint-1000/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:145356ccf4dda36def109413dd618864d66c58417b58086d84dcfe042cae3d4d
+size 14917

checkpoint-1000/scaler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9aa7e5f7f3366b7db6f25a9e3fa739116674bd641ce589a5940ff73f382fec0c
+size 1383

checkpoint-1000/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8ad53cc766239c18916b800e933713851c0d65b88c9a136c0e9d62e273c25fde
+size 1465

checkpoint-1000/trainer_state.json

@@ -0,0 +1,734 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.3168442314547111,
+  "eval_steps": 500,
+  "global_step": 1000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0031684423145471106,
+      "grad_norm": 0.19819921255111694,
+      "learning_rate": 1.08e-05,
+      "loss": 4.8784,
+      "step": 10
+    },
+    {
+      "epoch": 0.006336884629094221,
+      "grad_norm": 0.34108418226242065,
+      "learning_rate": 2.2800000000000002e-05,
+      "loss": 5.0786,
+      "step": 20
+    },
+    {
+      "epoch": 0.009505326943641333,
+      "grad_norm": 0.2952434718608856,
+      "learning_rate": 3.48e-05,
+      "loss": 5.0088,
+      "step": 30
+    },
+    {
+      "epoch": 0.012673769258188443,
+      "grad_norm": 0.41625794768333435,
+      "learning_rate": 4.6800000000000006e-05,
+      "loss": 4.8262,
+      "step": 40
+    },
+    {
+      "epoch": 0.015842211572735555,
+      "grad_norm": 1.1918175220489502,
+      "learning_rate": 5.88e-05,
+      "loss": 5.459,
+      "step": 50
+    },
+    {
+      "epoch": 0.019010653887282666,
+      "grad_norm": 0.47633519768714905,
+      "learning_rate": 5.999969438702549e-05,
+      "loss": 5.6355,
+      "step": 60
+    },
+    {
+      "epoch": 0.022179096201829774,
+      "grad_norm": 0.4251032769680023,
+      "learning_rate": 5.999863795510765e-05,
+      "loss": 5.5395,
+      "step": 70
+    },
+    {
+      "epoch": 0.025347538516376885,
+      "grad_norm": 0.3730669617652893,
+      "learning_rate": 5.999682695781323e-05,
+      "loss": 5.539,
+      "step": 80
+    },
+    {
+      "epoch": 0.028515980830923996,
+      "grad_norm": 0.3352891504764557,
+      "learning_rate": 5.9994261440694826e-05,
+      "loss": 5.5067,
+      "step": 90
+    },
+    {
+      "epoch": 0.03168442314547111,
+      "grad_norm": 0.5066033005714417,
+      "learning_rate": 5.9990941468283724e-05,
+      "loss": 5.6052,
+      "step": 100
+    },
+    {
+      "epoch": 0.03485286546001822,
+      "grad_norm": 0.4155944585800171,
+      "learning_rate": 5.998686712408824e-05,
+      "loss": 5.2992,
+      "step": 110
+    },
+    {
+      "epoch": 0.03802130777456533,
+      "grad_norm": 0.4713999927043915,
+      "learning_rate": 5.998203851059168e-05,
+      "loss": 5.4492,
+      "step": 120
+    },
+    {
+      "epoch": 0.04118975008911244,
+      "grad_norm": 0.32726186513900757,
+      "learning_rate": 5.99764557492497e-05,
+      "loss": 5.3036,
+      "step": 130
+    },
+    {
+      "epoch": 0.04435819240365955,
+      "grad_norm": 0.4011114537715912,
+      "learning_rate": 5.99701189804873e-05,
+      "loss": 5.3122,
+      "step": 140
+    },
+    {
+      "epoch": 0.04752663471820666,
+      "grad_norm": 0.46287617087364197,
+      "learning_rate": 5.9963028363695244e-05,
+      "loss": 5.3803,
+      "step": 150
+    },
+    {
+      "epoch": 0.05069507703275377,
+      "grad_norm": 0.4292086660861969,
+      "learning_rate": 5.995518407722611e-05,
+      "loss": 5.1361,
+      "step": 160
+    },
+    {
+      "epoch": 0.05386351934730088,
+      "grad_norm": 0.46384045481681824,
+      "learning_rate": 5.994658631838974e-05,
+      "loss": 5.226,
+      "step": 170
+    },
+    {
+      "epoch": 0.05703196166184799,
+      "grad_norm": 0.41396230459213257,
+      "learning_rate": 5.993723530344834e-05,
+      "loss": 5.1451,
+      "step": 180
+    },
+    {
+      "epoch": 0.0602004039763951,
+      "grad_norm": 0.5476190447807312,
+      "learning_rate": 5.9927131267610975e-05,
+      "loss": 5.1318,
+      "step": 190
+    },
+    {
+      "epoch": 0.06336884629094222,
+      "grad_norm": 0.6672335267066956,
+      "learning_rate": 5.991627446502772e-05,
+      "loss": 5.188,
+      "step": 200
+    },
+    {
+      "epoch": 0.06653728860548933,
+      "grad_norm": 0.5447375774383545,
+      "learning_rate": 5.990466516878321e-05,
+      "loss": 4.9756,
+      "step": 210
+    },
+    {
+      "epoch": 0.06970573092003644,
+      "grad_norm": 0.38904011249542236,
+      "learning_rate": 5.9892303670889794e-05,
+      "loss": 5.0689,
+      "step": 220
+    },
+    {
+      "epoch": 0.07287417323458355,
+      "grad_norm": 0.4386742115020752,
+      "learning_rate": 5.987919028228022e-05,
+      "loss": 5.0323,
+      "step": 230
+    },
+    {
+      "epoch": 0.07604261554913067,
+      "grad_norm": 0.5731292366981506,
+      "learning_rate": 5.986532533279975e-05,
+      "loss": 5.0404,
+      "step": 240
+    },
+    {
+      "epoch": 0.07921105786367777,
+      "grad_norm": 0.936024010181427,
+      "learning_rate": 5.9850709171197906e-05,
+      "loss": 5.0858,
+      "step": 250
+    },
+    {
+      "epoch": 0.08237950017822487,
+      "grad_norm": 0.5377296209335327,
+      "learning_rate": 5.9835342165119716e-05,
+      "loss": 4.8807,
+      "step": 260
+    },
+    {
+      "epoch": 0.08554794249277199,
+      "grad_norm": 0.5450035333633423,
+      "learning_rate": 5.98192247010964e-05,
+      "loss": 4.9438,
+      "step": 270
+    },
+    {
+      "epoch": 0.0887163848073191,
+      "grad_norm": 0.5310191512107849,
+      "learning_rate": 5.980235718453572e-05,
+      "loss": 4.9821,
+      "step": 280
+    },
+    {
+      "epoch": 0.09188482712186621,
+      "grad_norm": 1.1713744401931763,
+      "learning_rate": 5.978474003971173e-05,
+      "loss": 4.9609,
+      "step": 290
+    },
+    {
+      "epoch": 0.09505326943641332,
+      "grad_norm": 0.6962549686431885,
+      "learning_rate": 5.9766373709754145e-05,
+      "loss": 4.9816,
+      "step": 300
+    },
+    {
+      "epoch": 0.09822171175096044,
+      "grad_norm": 0.8181668519973755,
+      "learning_rate": 5.974725865663715e-05,
+      "loss": 4.8108,
+      "step": 310
+    },
+    {
+      "epoch": 0.10139015406550754,
+      "grad_norm": 0.7138918042182922,
+      "learning_rate": 5.9727395361167815e-05,
+      "loss": 4.8991,
+      "step": 320
+    },
+    {
+      "epoch": 0.10455859638005466,
+      "grad_norm": 0.754770040512085,
+      "learning_rate": 5.970678432297399e-05,
+      "loss": 4.9381,
+      "step": 330
+    },
+    {
+      "epoch": 0.10772703869460176,
+      "grad_norm": 0.5500665307044983,
+      "learning_rate": 5.9685426060491767e-05,
+      "loss": 4.8761,
+      "step": 340
+    },
+    {
+      "epoch": 0.11089548100914888,
+      "grad_norm": 0.9366258382797241,
+      "learning_rate": 5.9663321110952344e-05,
+      "loss": 4.9534,
+      "step": 350
+    },
+    {
+      "epoch": 0.11406392332369598,
+      "grad_norm": 0.6130990386009216,
+      "learning_rate": 5.964047003036864e-05,
+      "loss": 4.736,
+      "step": 360
+    },
+    {
+      "epoch": 0.1172323656382431,
+      "grad_norm": 0.5893264412879944,
+      "learning_rate": 5.961687339352122e-05,
+      "loss": 4.8846,
+      "step": 370
+    },
+    {
+      "epoch": 0.1204008079527902,
+      "grad_norm": 0.5872120261192322,
+      "learning_rate": 5.959253179394388e-05,
+      "loss": 4.8049,
+      "step": 380
+    },
+    {
+      "epoch": 0.12356925026733732,
+      "grad_norm": 0.9785071015357971,
+      "learning_rate": 5.956744584390867e-05,
+      "loss": 4.8355,
+      "step": 390
+    },
+    {
+      "epoch": 0.12673769258188444,
+      "grad_norm": 1.110487461090088,
+      "learning_rate": 5.9541616174410565e-05,
+      "loss": 4.9169,
+      "step": 400
+    },
+    {
+      "epoch": 0.12990613489643155,
+      "grad_norm": 0.8645092248916626,
+      "learning_rate": 5.9515043435151535e-05,
+      "loss": 4.7215,
+      "step": 410
+    },
+    {
+      "epoch": 0.13307457721097865,
+      "grad_norm": 0.9703325033187866,
+      "learning_rate": 5.948772829452423e-05,
+      "loss": 4.832,
+      "step": 420
+    },
+    {
+      "epoch": 0.13624301952552575,
+      "grad_norm": 0.6712486743927002,
+      "learning_rate": 5.945967143959516e-05,
+      "loss": 4.7938,
+      "step": 430
+    },
+    {
+      "epoch": 0.1394114618400729,
+      "grad_norm": 0.8329195380210876,
+      "learning_rate": 5.94308735760874e-05,
+      "loss": 4.8012,
+      "step": 440
+    },
+    {
+      "epoch": 0.14257990415462,
+      "grad_norm": 1.1987477540969849,
+      "learning_rate": 5.940133542836286e-05,
+      "loss": 4.8663,
+      "step": 450
+    },
+    {
+      "epoch": 0.1457483464691671,
+      "grad_norm": 0.7384081482887268,
+      "learning_rate": 5.937105773940407e-05,
+      "loss": 4.6772,
+      "step": 460
+    },
+    {
+      "epoch": 0.1489167887837142,
+      "grad_norm": 0.7325354814529419,
+      "learning_rate": 5.9340041270795454e-05,
+      "loss": 4.7705,
+      "step": 470
+    },
+    {
+      "epoch": 0.15208523109826133,
+      "grad_norm": 0.8904541730880737,
+      "learning_rate": 5.930828680270421e-05,
+      "loss": 4.7959,
+      "step": 480
+    },
+    {
+      "epoch": 0.15525367341280844,
+      "grad_norm": 0.8368484377861023,
+      "learning_rate": 5.927579513386069e-05,
+      "loss": 4.7283,
+      "step": 490
+    },
+    {
+      "epoch": 0.15842211572735554,
+      "grad_norm": 0.8346347212791443,
+      "learning_rate": 5.9242567081538255e-05,
+      "loss": 4.805,
+      "step": 500
+    },
+    {
+      "epoch": 0.16159055804190264,
+      "grad_norm": 0.6190924644470215,
+      "learning_rate": 5.920860348153279e-05,
+      "loss": 4.6284,
+      "step": 510
+    },
+    {
+      "epoch": 0.16475900035644975,
+      "grad_norm": 1.251244068145752,
+      "learning_rate": 5.917390518814164e-05,
+      "loss": 4.6961,
+      "step": 520
+    },
+    {
+      "epoch": 0.16792744267099688,
+      "grad_norm": 0.8339656591415405,
+      "learning_rate": 5.913847307414212e-05,
+      "loss": 4.6738,
+      "step": 530
+    },
+    {
+      "epoch": 0.17109588498554398,
+      "grad_norm": 0.6742847561836243,
+      "learning_rate": 5.910230803076957e-05,
+      "loss": 4.6947,
+      "step": 540
+    },
+    {
+      "epoch": 0.1742643273000911,
+      "grad_norm": 0.9937411546707153,
+      "learning_rate": 5.906541096769495e-05,
+      "loss": 4.7729,
+      "step": 550
+    },
+    {
+      "epoch": 0.1774327696146382,
+      "grad_norm": 0.7207300662994385,
+      "learning_rate": 5.9027782813001937e-05,
+      "loss": 4.5756,
+      "step": 560
+    },
+    {
+      "epoch": 0.18060121192918532,
+      "grad_norm": 0.7032576203346252,
+      "learning_rate": 5.8989424513163595e-05,
+      "loss": 4.6814,
+      "step": 570
+    },
+    {
+      "epoch": 0.18376965424373243,
+      "grad_norm": 0.6017909049987793,
+      "learning_rate": 5.895033703301855e-05,
+      "loss": 4.6421,
+      "step": 580
+    },
+    {
+      "epoch": 0.18693809655827953,
+      "grad_norm": 1.0589932203292847,
+      "learning_rate": 5.8910521355746765e-05,
+      "loss": 4.6204,
+      "step": 590
+    },
+    {
+      "epoch": 0.19010653887282664,
+      "grad_norm": 1.3771517276763916,
+      "learning_rate": 5.886997848284474e-05,
+      "loss": 4.7115,
+      "step": 600
+    },
+    {
+      "epoch": 0.19327498118737377,
+      "grad_norm": 0.6717742681503296,
+      "learning_rate": 5.882870943410038e-05,
+      "loss": 4.5742,
+      "step": 610
+    },
+    {
+      "epoch": 0.19644342350192087,
+      "grad_norm": 1.0189399719238281,
+      "learning_rate": 5.8786715247567346e-05,
+      "loss": 4.6473,
+      "step": 620
+    },
+    {
+      "epoch": 0.19961186581646798,
+      "grad_norm": 0.757310688495636,
+      "learning_rate": 5.87439969795389e-05,
+      "loss": 4.643,
+      "step": 630
+    },
+    {
+      "epoch": 0.20278030813101508,
+      "grad_norm": 0.7095428705215454,
+      "learning_rate": 5.870055570452133e-05,
+      "loss": 4.5934,
+      "step": 640
+    },
+    {
+      "epoch": 0.2059487504455622,
+      "grad_norm": 0.9886505603790283,
+      "learning_rate": 5.8656392515207005e-05,
+      "loss": 4.6542,
+      "step": 650
+    },
+    {
+      "epoch": 0.20911719276010932,
+      "grad_norm": 0.6527100801467896,
+      "learning_rate": 5.8611508522446806e-05,
+      "loss": 4.5105,
+      "step": 660
+    },
+    {
+      "epoch": 0.21228563507465642,
+      "grad_norm": 0.5825519561767578,
+      "learning_rate": 5.856590485522222e-05,
+      "loss": 4.5786,
+      "step": 670
+    },
+    {
+      "epoch": 0.21545407738920352,
+      "grad_norm": 0.9389135241508484,
+      "learning_rate": 5.851958266061694e-05,
+      "loss": 4.5739,
+      "step": 680
+    },
+    {
+      "epoch": 0.21862251970375066,
+      "grad_norm": 0.7726446986198425,
+      "learning_rate": 5.847254310378801e-05,
+      "loss": 4.5618,
+      "step": 690
+    },
+    {
+      "epoch": 0.22179096201829776,
+      "grad_norm": 1.239856481552124,
+      "learning_rate": 5.842478736793649e-05,
+      "loss": 4.6292,
+      "step": 700
+    },
+    {
+      "epoch": 0.22495940433284486,
+      "grad_norm": 0.6877331733703613,
+      "learning_rate": 5.837631665427778e-05,
+      "loss": 4.5048,
+      "step": 710
+    },
+    {
+      "epoch": 0.22812784664739197,
+      "grad_norm": 0.801625669002533,
+      "learning_rate": 5.832713218201127e-05,
+      "loss": 4.533,
+      "step": 720
+    },
+    {
+      "epoch": 0.2312962889619391,
+      "grad_norm": 0.967643141746521,
+      "learning_rate": 5.827723518828983e-05,
+      "loss": 4.5331,
+      "step": 730
+    },
+    {
+      "epoch": 0.2344647312764862,
+      "grad_norm": 0.8205392956733704,
+      "learning_rate": 5.822662692818855e-05,
+      "loss": 4.5119,
+      "step": 740
+    },
+    {
+      "epoch": 0.2376331735910333,
+      "grad_norm": 0.9368473291397095,
+      "learning_rate": 5.817530867467324e-05,
+      "loss": 4.5771,
+      "step": 750
+    },
+    {
+      "epoch": 0.2408016159055804,
+      "grad_norm": 0.7767211198806763,
+      "learning_rate": 5.812328171856844e-05,
+      "loss": 4.4603,
+      "step": 760
+    },
+    {
+      "epoch": 0.24397005822012752,
+      "grad_norm": 0.7029015421867371,
+      "learning_rate": 5.807054736852488e-05,
+      "loss": 4.5231,
+      "step": 770
+    },
+    {
+      "epoch": 0.24713850053467465,
+      "grad_norm": 0.6616556644439697,
+      "learning_rate": 5.80171069509866e-05,
+      "loss": 4.5496,
+      "step": 780
+    },
+    {
+      "epoch": 0.2503069428492217,
+      "grad_norm": 0.6856383085250854,
+      "learning_rate": 5.79629618101576e-05,
+      "loss": 4.5211,
+      "step": 790
+    },
+    {
+      "epoch": 0.2534753851637689,
+      "grad_norm": 1.8431510925292969,
+      "learning_rate": 5.790811330796798e-05,
+      "loss": 4.5532,
+      "step": 800
+    },
+    {
+      "epoch": 0.256643827478316,
+      "grad_norm": 0.6598497629165649,
+      "learning_rate": 5.7852562824039755e-05,
+      "loss": 4.4197,
+      "step": 810
+    },
+    {
+      "epoch": 0.2598122697928631,
+      "grad_norm": 0.7226588726043701,
+      "learning_rate": 5.779631175565207e-05,
+      "loss": 4.5192,
+      "step": 820
+    },
+    {
+      "epoch": 0.2629807121074102,
+      "grad_norm": 0.7087457776069641,
+      "learning_rate": 5.773936151770615e-05,
+      "loss": 4.4458,
+      "step": 830
+    },
+    {
+      "epoch": 0.2661491544219573,
+      "grad_norm": 0.6751745343208313,
+      "learning_rate": 5.768171354268959e-05,
+      "loss": 4.4599,
+      "step": 840
+    },
+    {
+      "epoch": 0.2693175967365044,
+      "grad_norm": 1.1364294290542603,
+      "learning_rate": 5.762336928064043e-05,
+      "loss": 4.5292,
+      "step": 850
+    },
+    {
+      "epoch": 0.2724860390510515,
+      "grad_norm": 0.6589078307151794,
+      "learning_rate": 5.756433019911064e-05,
+      "loss": 4.4059,
+      "step": 860
+    },
+    {
+      "epoch": 0.2756544813655986,
+      "grad_norm": 0.560736358165741,
+      "learning_rate": 5.750459778312922e-05,
+      "loss": 4.4956,
+      "step": 870
+    },
+    {
+      "epoch": 0.2788229236801458,
+      "grad_norm": 0.5596962571144104,
+      "learning_rate": 5.744417353516479e-05,
+      "loss": 4.4729,
+      "step": 880
+    },
+    {
+      "epoch": 0.2819913659946929,
+      "grad_norm": 0.7742477655410767,
+      "learning_rate": 5.738305897508787e-05,
+      "loss": 4.4419,
+      "step": 890
+    },
+    {
+      "epoch": 0.28515980830924,
+      "grad_norm": 1.0753636360168457,
+      "learning_rate": 5.7321255640132634e-05,
+      "loss": 4.4975,
+      "step": 900
+    },
+    {
+      "epoch": 0.2883282506237871,
+      "grad_norm": 0.6066401600837708,
+      "learning_rate": 5.7258765084858206e-05,
+      "loss": 4.3749,
+      "step": 910
+    },
+    {
+      "epoch": 0.2914966929383342,
+      "grad_norm": 0.7095748782157898,
+      "learning_rate": 5.71955888811096e-05,
+      "loss": 4.4388,
+      "step": 920
+    },
+    {
+      "epoch": 0.2946651352528813,
+      "grad_norm": 0.6218913197517395,
+      "learning_rate": 5.713172861797817e-05,
+      "loss": 4.4335,
+      "step": 930
+    },
+    {
+      "epoch": 0.2978335775674284,
+      "grad_norm": 0.733177125453949,
+      "learning_rate": 5.706718590176163e-05,
+      "loss": 4.3898,
+      "step": 940
+    },
+    {
+      "epoch": 0.3010020198819755,
+      "grad_norm": 0.7186071872711182,
+      "learning_rate": 5.7001962355923634e-05,
+      "loss": 4.4902,
+      "step": 950
+    },
+    {
+      "epoch": 0.30417046219652266,
+      "grad_norm": 0.6571614742279053,
+      "learning_rate": 5.693605962105299e-05,
+      "loss": 4.3314,
+      "step": 960
+    },
+    {
+      "epoch": 0.30733890451106977,
+      "grad_norm": 0.5829080939292908,
+      "learning_rate": 5.686947935482238e-05,
+      "loss": 4.4134,
+      "step": 970
+    },
+    {
+      "epoch": 0.31050734682561687,
+      "grad_norm": 0.7523115277290344,
+      "learning_rate": 5.680222323194659e-05,
+      "loss": 4.4089,
+      "step": 980
+    },
+    {
+      "epoch": 0.313675789140164,
+      "grad_norm": 0.656211256980896,
+      "learning_rate": 5.67342929441405e-05,
+      "loss": 4.3543,
+      "step": 990
+    },
+    {
+      "epoch": 0.3168442314547111,
+      "grad_norm": 0.7600722908973694,
+      "learning_rate": 5.666569020007646e-05,
+      "loss": 4.4595,
+      "step": 1000
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 6314,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 200,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.748472623936307e+17,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-1000/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00e0cd8677bb78a1aaa274a74c58f38ded65c12637c812615f676450980f579a
+size 5713