Upload folder using huggingface_hub

README.md

@@ -1,3 +1,204 @@
 ---
-license: apache-2.0
+library_name: peft
+base_model: SeaLLMs/SeaLLM-7B-v2
 ---
+
+# 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 0.9.1.dev0

adapter_config.json

@@ -0,0 +1,35 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "SeaLLMs/SeaLLM-7B-v2",
+  "bias": "none",
+  "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_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "lm_head",
+    "k_proj",
+    "gate_proj",
+    "up_proj",
+    "down_proj",
+    "o_proj",
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9c3e723726113cdbe1889d3d7c1b952a3739e03cb6c7011946035a1f99c6b660
+size 1135046584

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3b30b7e6783ff970fa6ea28e3435b0eb3925825d1d725f8629c607cf1605fbc
+size 172002140

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7f01f2f28081e2aaca20a40b2ba00ed5b09cca70a0b31ae1f06a3433a522ee12
+size 14244

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79e248a39f50b5d3a57d8e41e7c5fe83f244fb0b1d685d4b964ce578c6f6ea87
+size 1064

trainer_state.json

@@ -0,0 +1,756 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.47292732361741147,
+  "eval_steps": 100,
+  "global_step": 4900,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.01,
+      "grad_norm": 5.391254425048828,
+      "learning_rate": 2.450490098019604e-05,
+      "loss": 1.8358,
+      "step": 100
+    },
+    {
+      "epoch": 0.01,
+      "eval_loss": 1.450282096862793,
+      "eval_runtime": 27.2888,
+      "eval_samples_per_second": 18.323,
+      "eval_steps_per_second": 2.309,
+      "step": 100
+    },
+    {
+      "epoch": 0.02,
+      "grad_norm": 5.370517253875732,
+      "learning_rate": 2.400480096019204e-05,
+      "loss": 1.6054,
+      "step": 200
+    },
+    {
+      "epoch": 0.02,
+      "eval_loss": 1.4298174381256104,
+      "eval_runtime": 27.2786,
+      "eval_samples_per_second": 18.329,
+      "eval_steps_per_second": 2.31,
+      "step": 200
+    },
+    {
+      "epoch": 0.03,
+      "grad_norm": 5.93058443069458,
+      "learning_rate": 2.3504700940188037e-05,
+      "loss": 1.7294,
+      "step": 300
+    },
+    {
+      "epoch": 0.03,
+      "eval_loss": 1.404078483581543,
+      "eval_runtime": 27.2841,
+      "eval_samples_per_second": 18.326,
+      "eval_steps_per_second": 2.309,
+      "step": 300
+    },
+    {
+      "epoch": 0.04,
+      "grad_norm": 3.4010226726531982,
+      "learning_rate": 2.3004600920184037e-05,
+      "loss": 1.591,
+      "step": 400
+    },
+    {
+      "epoch": 0.04,
+      "eval_loss": 1.3933534622192383,
+      "eval_runtime": 27.2614,
+      "eval_samples_per_second": 18.341,
+      "eval_steps_per_second": 2.311,
+      "step": 400
+    },
+    {
+      "epoch": 0.05,
+      "grad_norm": 5.741560459136963,
+      "learning_rate": 2.2504500900180037e-05,
+      "loss": 1.6501,
+      "step": 500
+    },
+    {
+      "epoch": 0.05,
+      "eval_loss": 1.3843183517456055,
+      "eval_runtime": 27.2728,
+      "eval_samples_per_second": 18.333,
+      "eval_steps_per_second": 2.31,
+      "step": 500
+    },
+    {
+      "epoch": 0.06,
+      "grad_norm": 3.929501533508301,
+      "learning_rate": 2.2004400880176038e-05,
+      "loss": 1.5758,
+      "step": 600
+    },
+    {
+      "epoch": 0.06,
+      "eval_loss": 1.3718712329864502,
+      "eval_runtime": 27.2551,
+      "eval_samples_per_second": 18.345,
+      "eval_steps_per_second": 2.311,
+      "step": 600
+    },
+    {
+      "epoch": 0.07,
+      "grad_norm": 6.033923149108887,
+      "learning_rate": 2.1504300860172034e-05,
+      "loss": 1.6159,
+      "step": 700
+    },
+    {
+      "epoch": 0.07,
+      "eval_loss": 1.377557396888733,
+      "eval_runtime": 27.2622,
+      "eval_samples_per_second": 18.34,
+      "eval_steps_per_second": 2.311,
+      "step": 700
+    },
+    {
+      "epoch": 0.08,
+      "grad_norm": 7.7004313468933105,
+      "learning_rate": 2.1004200840168034e-05,
+      "loss": 1.6272,
+      "step": 800
+    },
+    {
+      "epoch": 0.08,
+      "eval_loss": 1.3639216423034668,
+      "eval_runtime": 27.271,
+      "eval_samples_per_second": 18.334,
+      "eval_steps_per_second": 2.31,
+      "step": 800
+    },
+    {
+      "epoch": 0.09,
+      "grad_norm": 3.8936071395874023,
+      "learning_rate": 2.0504100820164035e-05,
+      "loss": 1.5669,
+      "step": 900
+    },
+    {
+      "epoch": 0.09,
+      "eval_loss": 1.3606789112091064,
+      "eval_runtime": 27.2614,
+      "eval_samples_per_second": 18.341,
+      "eval_steps_per_second": 2.311,
+      "step": 900
+    },
+    {
+      "epoch": 0.1,
+      "grad_norm": 2.6616313457489014,
+      "learning_rate": 2.0004000800160035e-05,
+      "loss": 1.5046,
+      "step": 1000
+    },
+    {
+      "epoch": 0.1,
+      "eval_loss": 1.3455876111984253,
+      "eval_runtime": 27.2532,
+      "eval_samples_per_second": 18.346,
+      "eval_steps_per_second": 2.312,
+      "step": 1000
+    },
+    {
+      "epoch": 0.11,
+      "grad_norm": 4.210849761962891,
+      "learning_rate": 1.950390078015603e-05,
+      "loss": 1.5338,
+      "step": 1100
+    },
+    {
+      "epoch": 0.11,
+      "eval_loss": 1.3470462560653687,
+      "eval_runtime": 27.2373,
+      "eval_samples_per_second": 18.357,
+      "eval_steps_per_second": 2.313,
+      "step": 1100
+    },
+    {
+      "epoch": 0.12,
+      "grad_norm": 7.99553108215332,
+      "learning_rate": 1.900380076015203e-05,
+      "loss": 1.5559,
+      "step": 1200
+    },
+    {
+      "epoch": 0.12,
+      "eval_loss": 1.3312621116638184,
+      "eval_runtime": 27.2565,
+      "eval_samples_per_second": 18.344,
+      "eval_steps_per_second": 2.311,
+      "step": 1200
+    },
+    {
+      "epoch": 0.13,
+      "grad_norm": 7.216369152069092,
+      "learning_rate": 1.8503700740148032e-05,
+      "loss": 1.5616,
+      "step": 1300
+    },
+    {
+      "epoch": 0.13,
+      "eval_loss": 1.3286023139953613,
+      "eval_runtime": 27.2461,
+      "eval_samples_per_second": 18.351,
+      "eval_steps_per_second": 2.312,
+      "step": 1300
+    },
+    {
+      "epoch": 0.14,
+      "grad_norm": 3.162696361541748,
+      "learning_rate": 1.800360072014403e-05,
+      "loss": 1.4969,
+      "step": 1400
+    },
+    {
+      "epoch": 0.14,
+      "eval_loss": 1.3286837339401245,
+      "eval_runtime": 27.2552,
+      "eval_samples_per_second": 18.345,
+      "eval_steps_per_second": 2.311,
+      "step": 1400
+    },
+    {
+      "epoch": 0.14,
+      "grad_norm": 7.42529821395874,
+      "learning_rate": 1.750350070014003e-05,
+      "loss": 1.5723,
+      "step": 1500
+    },
+    {
+      "epoch": 0.14,
+      "eval_loss": 1.3215287923812866,
+      "eval_runtime": 27.2475,
+      "eval_samples_per_second": 18.35,
+      "eval_steps_per_second": 2.312,
+      "step": 1500
+    },
+    {
+      "epoch": 0.15,
+      "grad_norm": 2.7483532428741455,
+      "learning_rate": 1.700340068013603e-05,
+      "loss": 1.4844,
+      "step": 1600
+    },
+    {
+      "epoch": 0.15,
+      "eval_loss": 1.3189783096313477,
+      "eval_runtime": 27.2412,
+      "eval_samples_per_second": 18.355,
+      "eval_steps_per_second": 2.313,
+      "step": 1600
+    },
+    {
+      "epoch": 0.16,
+      "grad_norm": 11.681495666503906,
+      "learning_rate": 1.6503300660132026e-05,
+      "loss": 1.5056,
+      "step": 1700
+    },
+    {
+      "epoch": 0.16,
+      "eval_loss": 1.313588261604309,
+      "eval_runtime": 27.2711,
+      "eval_samples_per_second": 18.334,
+      "eval_steps_per_second": 2.31,
+      "step": 1700
+    },
+    {
+      "epoch": 0.17,
+      "grad_norm": 6.721160888671875,
+      "learning_rate": 1.6003200640128026e-05,
+      "loss": 1.5118,
+      "step": 1800
+    },
+    {
+      "epoch": 0.17,
+      "eval_loss": 1.3094464540481567,
+      "eval_runtime": 27.2681,
+      "eval_samples_per_second": 18.336,
+      "eval_steps_per_second": 2.31,
+      "step": 1800
+    },
+    {
+      "epoch": 0.18,
+      "grad_norm": 6.978147029876709,
+      "learning_rate": 1.5503100620124026e-05,
+      "loss": 1.4269,
+      "step": 1900
+    },
+    {
+      "epoch": 0.18,
+      "eval_loss": 1.3047374486923218,
+      "eval_runtime": 27.289,
+      "eval_samples_per_second": 18.322,
+      "eval_steps_per_second": 2.309,
+      "step": 1900
+    },
+    {
+      "epoch": 0.19,
+      "grad_norm": 6.569401741027832,
+      "learning_rate": 1.5003000600120023e-05,
+      "loss": 1.6078,
+      "step": 2000
+    },
+    {
+      "epoch": 0.19,
+      "eval_loss": 1.2957228422164917,
+      "eval_runtime": 27.2723,
+      "eval_samples_per_second": 18.334,
+      "eval_steps_per_second": 2.31,
+      "step": 2000
+    },
+    {
+      "epoch": 0.2,
+      "grad_norm": 7.020974159240723,
+      "learning_rate": 1.4502900580116025e-05,
+      "loss": 1.5223,
+      "step": 2100
+    },
+    {
+      "epoch": 0.2,
+      "eval_loss": 1.2962332963943481,
+      "eval_runtime": 27.2629,
+      "eval_samples_per_second": 18.34,
+      "eval_steps_per_second": 2.311,
+      "step": 2100
+    },
+    {
+      "epoch": 0.21,
+      "grad_norm": 11.144767761230469,
+      "learning_rate": 1.4002800560112023e-05,
+      "loss": 1.5419,
+      "step": 2200
+    },
+    {
+      "epoch": 0.21,
+      "eval_loss": 1.2900757789611816,
+      "eval_runtime": 27.2619,
+      "eval_samples_per_second": 18.341,
+      "eval_steps_per_second": 2.311,
+      "step": 2200
+    },
+    {
+      "epoch": 0.22,
+      "grad_norm": 8.033313751220703,
+      "learning_rate": 1.3502700540108021e-05,
+      "loss": 1.5363,
+      "step": 2300
+    },
+    {
+      "epoch": 0.22,
+      "eval_loss": 1.2853684425354004,
+      "eval_runtime": 27.2673,
+      "eval_samples_per_second": 18.337,
+      "eval_steps_per_second": 2.31,
+      "step": 2300
+    },
+    {
+      "epoch": 0.23,
+      "grad_norm": 8.654736518859863,
+      "learning_rate": 1.3002600520104022e-05,
+      "loss": 1.4545,
+      "step": 2400
+    },
+    {
+      "epoch": 0.23,
+      "eval_loss": 1.2811810970306396,
+      "eval_runtime": 27.2594,
+      "eval_samples_per_second": 18.342,
+      "eval_steps_per_second": 2.311,
+      "step": 2400
+    },
+    {
+      "epoch": 0.24,
+      "grad_norm": 9.393715858459473,
+      "learning_rate": 1.250250050010002e-05,
+      "loss": 1.4054,
+      "step": 2500
+    },
+    {
+      "epoch": 0.24,
+      "eval_loss": 1.2781436443328857,
+      "eval_runtime": 27.2437,
+      "eval_samples_per_second": 18.353,
+      "eval_steps_per_second": 2.312,
+      "step": 2500
+    },
+    {
+      "epoch": 0.25,
+      "grad_norm": 3.9280712604522705,
+      "learning_rate": 1.200240048009602e-05,
+      "loss": 1.5613,
+      "step": 2600
+    },
+    {
+      "epoch": 0.25,
+      "eval_loss": 1.2793227434158325,
+      "eval_runtime": 27.2593,
+      "eval_samples_per_second": 18.342,
+      "eval_steps_per_second": 2.311,
+      "step": 2600
+    },
+    {
+      "epoch": 0.26,
+      "grad_norm": 9.87479019165039,
+      "learning_rate": 1.1502300460092019e-05,
+      "loss": 1.3906,
+      "step": 2700
+    },
+    {
+      "epoch": 0.26,
+      "eval_loss": 1.2742949724197388,
+      "eval_runtime": 27.2694,
+      "eval_samples_per_second": 18.336,
+      "eval_steps_per_second": 2.31,
+      "step": 2700
+    },
+    {
+      "epoch": 0.27,
+      "grad_norm": 8.556775093078613,
+      "learning_rate": 1.1002200440088019e-05,
+      "loss": 1.5082,
+      "step": 2800
+    },
+    {
+      "epoch": 0.27,
+      "eval_loss": 1.2731441259384155,
+      "eval_runtime": 27.2537,
+      "eval_samples_per_second": 18.346,
+      "eval_steps_per_second": 2.312,
+      "step": 2800
+    },
+    {
+      "epoch": 0.28,
+      "grad_norm": 4.113871097564697,
+      "learning_rate": 1.0502100420084017e-05,
+      "loss": 1.4439,
+      "step": 2900
+    },
+    {
+      "epoch": 0.28,
+      "eval_loss": 1.2708263397216797,
+      "eval_runtime": 27.2642,
+      "eval_samples_per_second": 18.339,
+      "eval_steps_per_second": 2.311,
+      "step": 2900
+    },
+    {
+      "epoch": 0.29,
+      "grad_norm": 7.74875545501709,
+      "learning_rate": 1.0002000400080017e-05,
+      "loss": 1.4189,
+      "step": 3000
+    },
+    {
+      "epoch": 0.29,
+      "eval_loss": 1.2717357873916626,
+      "eval_runtime": 27.2628,
+      "eval_samples_per_second": 18.34,
+      "eval_steps_per_second": 2.311,
+      "step": 3000
+    },
+    {
+      "epoch": 0.3,
+      "grad_norm": 3.830393075942993,
+      "learning_rate": 9.501900380076016e-06,
+      "loss": 1.4567,
+      "step": 3100
+    },
+    {
+      "epoch": 0.3,
+      "eval_loss": 1.2686272859573364,
+      "eval_runtime": 27.2577,
+      "eval_samples_per_second": 18.343,
+      "eval_steps_per_second": 2.311,
+      "step": 3100
+    },
+    {
+      "epoch": 0.31,
+      "grad_norm": 7.333063125610352,
+      "learning_rate": 9.001800360072014e-06,
+      "loss": 1.4613,
+      "step": 3200
+    },
+    {
+      "epoch": 0.31,
+      "eval_loss": 1.266152262687683,
+      "eval_runtime": 27.2615,
+      "eval_samples_per_second": 18.341,
+      "eval_steps_per_second": 2.311,
+      "step": 3200
+    },
+    {
+      "epoch": 0.32,
+      "grad_norm": 2.688906192779541,
+      "learning_rate": 8.501700340068014e-06,
+      "loss": 1.4106,
+      "step": 3300
+    },
+    {
+      "epoch": 0.32,
+      "eval_loss": 1.2621879577636719,
+      "eval_runtime": 27.2709,
+      "eval_samples_per_second": 18.335,
+      "eval_steps_per_second": 2.31,
+      "step": 3300
+    },
+    {
+      "epoch": 0.33,
+      "grad_norm": 5.106052398681641,
+      "learning_rate": 8.001600320064013e-06,
+      "loss": 1.4848,
+      "step": 3400
+    },
+    {
+      "epoch": 0.33,
+      "eval_loss": 1.259779453277588,
+      "eval_runtime": 27.2724,
+      "eval_samples_per_second": 18.334,
+      "eval_steps_per_second": 2.31,
+      "step": 3400
+    },
+    {
+      "epoch": 0.34,
+      "grad_norm": 7.964311599731445,
+      "learning_rate": 7.501500300060011e-06,
+      "loss": 1.3907,
+      "step": 3500
+    },
+    {
+      "epoch": 0.34,
+      "eval_loss": 1.2596435546875,
+      "eval_runtime": 27.2626,
+      "eval_samples_per_second": 18.34,
+      "eval_steps_per_second": 2.311,
+      "step": 3500
+    },
+    {
+      "epoch": 0.35,
+      "grad_norm": 6.268681526184082,
+      "learning_rate": 7.0014002800560115e-06,
+      "loss": 1.44,
+      "step": 3600
+    },
+    {
+      "epoch": 0.35,
+      "eval_loss": 1.2597826719284058,
+      "eval_runtime": 27.2599,
+      "eval_samples_per_second": 18.342,
+      "eval_steps_per_second": 2.311,
+      "step": 3600
+    },
+    {
+      "epoch": 0.36,
+      "grad_norm": 3.744537115097046,
+      "learning_rate": 6.501300260052011e-06,
+      "loss": 1.4985,
+      "step": 3700
+    },
+    {
+      "epoch": 0.36,
+      "eval_loss": 1.2589830160140991,
+      "eval_runtime": 27.2604,
+      "eval_samples_per_second": 18.342,
+      "eval_steps_per_second": 2.311,
+      "step": 3700
+    },
+    {
+      "epoch": 0.37,
+      "grad_norm": 6.038290500640869,
+      "learning_rate": 6.00120024004801e-06,
+      "loss": 1.3521,
+      "step": 3800
+    },
+    {
+      "epoch": 0.37,
+      "eval_loss": 1.255460500717163,
+      "eval_runtime": 27.2617,
+      "eval_samples_per_second": 18.341,
+      "eval_steps_per_second": 2.311,
+      "step": 3800
+    },
+    {
+      "epoch": 0.38,
+      "grad_norm": 8.274654388427734,
+      "learning_rate": 5.501100220044009e-06,
+      "loss": 1.4754,
+      "step": 3900
+    },
+    {
+      "epoch": 0.38,
+      "eval_loss": 1.254140019416809,
+      "eval_runtime": 27.2664,
+      "eval_samples_per_second": 18.338,
+      "eval_steps_per_second": 2.311,
+      "step": 3900
+    },
+    {
+      "epoch": 0.39,
+      "grad_norm": 6.011349201202393,
+      "learning_rate": 5.001000200040009e-06,
+      "loss": 1.3927,
+      "step": 4000
+    },
+    {
+      "epoch": 0.39,
+      "eval_loss": 1.252474069595337,
+      "eval_runtime": 27.2815,
+      "eval_samples_per_second": 18.327,
+      "eval_steps_per_second": 2.309,
+      "step": 4000
+    },
+    {
+      "epoch": 0.4,
+      "grad_norm": 8.328156471252441,
+      "learning_rate": 4.500900180036007e-06,
+      "loss": 1.468,
+      "step": 4100
+    },
+    {
+      "epoch": 0.4,
+      "eval_loss": 1.2514727115631104,
+      "eval_runtime": 27.2652,
+      "eval_samples_per_second": 18.338,
+      "eval_steps_per_second": 2.311,
+      "step": 4100
+    },
+    {
+      "epoch": 0.41,
+      "grad_norm": 7.536208152770996,
+      "learning_rate": 4.0008001600320064e-06,
+      "loss": 1.4471,
+      "step": 4200
+    },
+    {
+      "epoch": 0.41,
+      "eval_loss": 1.2502838373184204,
+      "eval_runtime": 27.2698,
+      "eval_samples_per_second": 18.335,
+      "eval_steps_per_second": 2.31,
+      "step": 4200
+    },
+    {
+      "epoch": 0.42,
+      "grad_norm": 6.996093273162842,
+      "learning_rate": 3.5007001400280057e-06,
+      "loss": 1.445,
+      "step": 4300
+    },
+    {
+      "epoch": 0.42,
+      "eval_loss": 1.2483798265457153,
+      "eval_runtime": 27.2509,
+      "eval_samples_per_second": 18.348,
+      "eval_steps_per_second": 2.312,
+      "step": 4300
+    },
+    {
+      "epoch": 0.42,
+      "grad_norm": 5.2884063720703125,
+      "learning_rate": 3.000600120024005e-06,
+      "loss": 1.465,
+      "step": 4400
+    },
+    {
+      "epoch": 0.42,
+      "eval_loss": 1.2479716539382935,
+      "eval_runtime": 27.2406,
+      "eval_samples_per_second": 18.355,
+      "eval_steps_per_second": 2.313,
+      "step": 4400
+    },
+    {
+      "epoch": 0.43,
+      "grad_norm": 6.742663383483887,
+      "learning_rate": 2.5005001000200043e-06,
+      "loss": 1.3964,
+      "step": 4500
+    },
+    {
+      "epoch": 0.43,
+      "eval_loss": 1.2463291883468628,
+      "eval_runtime": 27.2445,
+      "eval_samples_per_second": 18.352,
+      "eval_steps_per_second": 2.312,
+      "step": 4500
+    },
+    {
+      "epoch": 0.44,
+      "grad_norm": 5.316954612731934,
+      "learning_rate": 2.0004000800160032e-06,
+      "loss": 1.4355,
+      "step": 4600
+    },
+    {
+      "epoch": 0.44,
+      "eval_loss": 1.244441032409668,
+      "eval_runtime": 27.2539,
+      "eval_samples_per_second": 18.346,
+      "eval_steps_per_second": 2.312,
+      "step": 4600
+    },
+    {
+      "epoch": 0.45,
+      "grad_norm": 7.313477516174316,
+      "learning_rate": 1.5003000600120025e-06,
+      "loss": 1.4902,
+      "step": 4700
+    },
+    {
+      "epoch": 0.45,
+      "eval_loss": 1.2442010641098022,
+      "eval_runtime": 27.2614,
+      "eval_samples_per_second": 18.341,
+      "eval_steps_per_second": 2.311,
+      "step": 4700
+    },
+    {
+      "epoch": 0.46,
+      "grad_norm": 4.464217185974121,
+      "learning_rate": 1.0002000400080016e-06,
+      "loss": 1.3817,
+      "step": 4800
+    },
+    {
+      "epoch": 0.46,
+      "eval_loss": 1.2431871891021729,
+      "eval_runtime": 27.2574,
+      "eval_samples_per_second": 18.344,
+      "eval_steps_per_second": 2.311,
+      "step": 4800
+    },
+    {
+      "epoch": 0.47,
+      "grad_norm": 9.320337295532227,
+      "learning_rate": 5.001000200040008e-07,
+      "loss": 1.3901,
+      "step": 4900
+    },
+    {
+      "epoch": 0.47,
+      "eval_loss": 1.2422610521316528,
+      "eval_runtime": 27.2557,
+      "eval_samples_per_second": 18.345,
+      "eval_steps_per_second": 2.311,
+      "step": 4900
+    }
+  ],
+  "logging_steps": 100,
+  "max_steps": 5000,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 100,
+  "total_flos": 1.866856780959744e+17,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:19c1e3e22d0c9881f51981d7ee587cc0e8f47545f6abf5bf48a185f92b2eaaf9
+size 4920