Training in progress, epoch 0, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: katuni4ka/tiny-random-dbrx
+library_name: peft
+---
+
+# 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 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,30 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "katuni4ka/tiny-random-dbrx",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "Wqkv",
+    "out_proj",
+    "layer"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b8025425d8fa597e2614709bd19a5698c5b18ff9b7b11e0a9201c091df53655e
+size 5752

last-checkpoint/added_tokens.json

@@ -0,0 +1,4 @@
+{
+  "<|im_end|>": 100279,
+  "<|im_start|>": 100278
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:beffcac6b776e99554a30924cdcdfbc24754c70c0473cc3f8625af56aeec34a6
+size 15814

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5e637b532662d4a28fc36928ae3c4887c27c8252ca73d94f9956df027e24662
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:705cabf5cbc3a6ab0feb67c77b9b453d59efcc939ce90d310af96e621810f990
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,205 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "100256": {
+      "content": "<||_unused_0_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100257": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100258": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100259": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100260": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100261": {
+      "content": "<||_unused_1_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100262": {
+      "content": "<||_unused_2_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100263": {
+      "content": "<||_unused_3_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100264": {
+      "content": "<||_unused_4_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100265": {
+      "content": "<||_unused_5_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100266": {
+      "content": "<||_unused_6_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100267": {
+      "content": "<||_unused_7_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100268": {
+      "content": "<||_unused_8_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100269": {
+      "content": "<||_unused_9_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100270": {
+      "content": "<||_unused_10_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100271": {
+      "content": "<||_unused_11_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100272": {
+      "content": "<||_unused_12_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100273": {
+      "content": "<||_unused_13_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100274": {
+      "content": "<||_unused_14_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100275": {
+      "content": "<||_unused_15_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100276": {
+      "content": "<|endofprompt|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100277": {
+      "content": "<|pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100278": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100279": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 32768,
+  "pad_token": "<|pad|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,633 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.048856453632171976,
+  "eval_steps": 100,
+  "global_step": 400,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.00012214113408042993,
+      "eval_loss": 11.5,
+      "eval_runtime": 22.3392,
+      "eval_samples_per_second": 154.348,
+      "eval_steps_per_second": 77.174,
+      "step": 1
+    },
+    {
+      "epoch": 0.0006107056704021497,
+      "grad_norm": 5.640897143166512e-05,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 46.0,
+      "step": 5
+    },
+    {
+      "epoch": 0.0012214113408042994,
+      "grad_norm": 7.911106513347477e-05,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 46.0,
+      "step": 10
+    },
+    {
+      "epoch": 0.001832117011206449,
+      "grad_norm": 7.98892870079726e-05,
+      "learning_rate": 5e-05,
+      "loss": 46.0,
+      "step": 15
+    },
+    {
+      "epoch": 0.002442822681608599,
+      "grad_norm": 9.459878492634743e-05,
+      "learning_rate": 6.666666666666667e-05,
+      "loss": 46.0,
+      "step": 20
+    },
+    {
+      "epoch": 0.0030535283520107485,
+      "grad_norm": 7.22497861715965e-05,
+      "learning_rate": 8.333333333333334e-05,
+      "loss": 46.0,
+      "step": 25
+    },
+    {
+      "epoch": 0.003664234022412898,
+      "grad_norm": 7.780244777677581e-05,
+      "learning_rate": 0.0001,
+      "loss": 46.0,
+      "step": 30
+    },
+    {
+      "epoch": 0.004274939692815048,
+      "grad_norm": 8.012832404347137e-05,
+      "learning_rate": 9.995494831023409e-05,
+      "loss": 46.0,
+      "step": 35
+    },
+    {
+      "epoch": 0.004885645363217198,
+      "grad_norm": 8.905514550860971e-05,
+      "learning_rate": 9.981987442712633e-05,
+      "loss": 46.0,
+      "step": 40
+    },
+    {
+      "epoch": 0.005496351033619347,
+      "grad_norm": 8.750787674216554e-05,
+      "learning_rate": 9.959502176294383e-05,
+      "loss": 46.0,
+      "step": 45
+    },
+    {
+      "epoch": 0.006107056704021497,
+      "grad_norm": 9.322659025201574e-05,
+      "learning_rate": 9.928079551738543e-05,
+      "loss": 46.0,
+      "step": 50
+    },
+    {
+      "epoch": 0.006717762374423646,
+      "grad_norm": 7.013502181507647e-05,
+      "learning_rate": 9.887776194738432e-05,
+      "loss": 46.0,
+      "step": 55
+    },
+    {
+      "epoch": 0.007328468044825796,
+      "grad_norm": 7.971763261593878e-05,
+      "learning_rate": 9.838664734667495e-05,
+      "loss": 46.0,
+      "step": 60
+    },
+    {
+      "epoch": 0.007939173715227945,
+      "grad_norm": 8.508894825354218e-05,
+      "learning_rate": 9.780833673696254e-05,
+      "loss": 46.0,
+      "step": 65
+    },
+    {
+      "epoch": 0.008549879385630095,
+      "grad_norm": 9.751072502695024e-05,
+      "learning_rate": 9.714387227305422e-05,
+      "loss": 46.0,
+      "step": 70
+    },
+    {
+      "epoch": 0.009160585056032245,
+      "grad_norm": 0.00010631086479406804,
+      "learning_rate": 9.639445136482548e-05,
+      "loss": 46.0,
+      "step": 75
+    },
+    {
+      "epoch": 0.009771290726434395,
+      "grad_norm": 0.00012184488878119737,
+      "learning_rate": 9.55614245194068e-05,
+      "loss": 46.0,
+      "step": 80
+    },
+    {
+      "epoch": 0.010381996396836544,
+      "grad_norm": 9.975822467822582e-05,
+      "learning_rate": 9.464629290747842e-05,
+      "loss": 46.0,
+      "step": 85
+    },
+    {
+      "epoch": 0.010992702067238694,
+      "grad_norm": 0.00011803951201727614,
+      "learning_rate": 9.365070565805941e-05,
+      "loss": 46.0,
+      "step": 90
+    },
+    {
+      "epoch": 0.011603407737640844,
+      "grad_norm": 0.00013076045433990657,
+      "learning_rate": 9.257645688666556e-05,
+      "loss": 46.0,
+      "step": 95
+    },
+    {
+      "epoch": 0.012214113408042994,
+      "grad_norm": 0.00011885855928994715,
+      "learning_rate": 9.142548246219212e-05,
+      "loss": 46.0,
+      "step": 100
+    },
+    {
+      "epoch": 0.012214113408042994,
+      "eval_loss": 11.5,
+      "eval_runtime": 22.3431,
+      "eval_samples_per_second": 154.32,
+      "eval_steps_per_second": 77.16,
+      "step": 100
+    },
+    {
+      "epoch": 0.012824819078445144,
+      "grad_norm": 8.25794049887918e-05,
+      "learning_rate": 9.019985651834703e-05,
+      "loss": 46.0,
+      "step": 105
+    },
+    {
+      "epoch": 0.013435524748847292,
+      "grad_norm": 0.0001379641325911507,
+      "learning_rate": 8.890178771592199e-05,
+      "loss": 46.0,
+      "step": 110
+    },
+    {
+      "epoch": 0.014046230419249442,
+      "grad_norm": 0.00014777411706745625,
+      "learning_rate": 8.753361526263621e-05,
+      "loss": 46.0,
+      "step": 115
+    },
+    {
+      "epoch": 0.014656936089651592,
+      "grad_norm": 0.00013291859067976475,
+      "learning_rate": 8.609780469772623e-05,
+      "loss": 46.0,
+      "step": 120
+    },
+    {
+      "epoch": 0.015267641760053742,
+      "grad_norm": 0.0001347983634332195,
+      "learning_rate": 8.459694344887732e-05,
+      "loss": 46.0,
+      "step": 125
+    },
+    {
+      "epoch": 0.01587834743045589,
+      "grad_norm": 0.000160489886184223,
+      "learning_rate": 8.303373616950408e-05,
+      "loss": 46.0,
+      "step": 130
+    },
+    {
+      "epoch": 0.01648905310085804,
+      "grad_norm": 0.00014025198470335454,
+      "learning_rate": 8.141099986478212e-05,
+      "loss": 46.0,
+      "step": 135
+    },
+    {
+      "epoch": 0.01709975877126019,
+      "grad_norm": 0.0001880452618934214,
+      "learning_rate": 7.973165881521434e-05,
+      "loss": 46.0,
+      "step": 140
+    },
+    {
+      "epoch": 0.01771046444166234,
+      "grad_norm": 0.00018401446868665516,
+      "learning_rate": 7.799873930687978e-05,
+      "loss": 46.0,
+      "step": 145
+    },
+    {
+      "epoch": 0.01832117011206449,
+      "grad_norm": 0.00023051275638863444,
+      "learning_rate": 7.621536417786159e-05,
+      "loss": 46.0,
+      "step": 150
+    },
+    {
+      "epoch": 0.01893187578246664,
+      "grad_norm": 0.0001433873549103737,
+      "learning_rate": 7.438474719068173e-05,
+      "loss": 46.0,
+      "step": 155
+    },
+    {
+      "epoch": 0.01954258145286879,
+      "grad_norm": 0.00019341360894031823,
+      "learning_rate": 7.251018724088367e-05,
+      "loss": 46.0,
+      "step": 160
+    },
+    {
+      "epoch": 0.02015328712327094,
+      "grad_norm": 0.00021299674699548632,
+      "learning_rate": 7.059506241219965e-05,
+      "loss": 46.0,
+      "step": 165
+    },
+    {
+      "epoch": 0.020763992793673088,
+      "grad_norm": 0.00024367104924749583,
+      "learning_rate": 6.864282388901544e-05,
+      "loss": 46.0,
+      "step": 170
+    },
+    {
+      "epoch": 0.021374698464075238,
+      "grad_norm": 0.00023080628307070583,
+      "learning_rate": 6.665698973710288e-05,
+      "loss": 46.0,
+      "step": 175
+    },
+    {
+      "epoch": 0.021985404134477388,
+      "grad_norm": 0.00023835583124309778,
+      "learning_rate": 6.464113856382752e-05,
+      "loss": 46.0,
+      "step": 180
+    },
+    {
+      "epoch": 0.022596109804879538,
+      "grad_norm": 0.00025805115001276135,
+      "learning_rate": 6.259890306925627e-05,
+      "loss": 46.0,
+      "step": 185
+    },
+    {
+      "epoch": 0.023206815475281688,
+      "grad_norm": 0.0002209192607551813,
+      "learning_rate": 6.0533963499786314e-05,
+      "loss": 46.0,
+      "step": 190
+    },
+    {
+      "epoch": 0.023817521145683838,
+      "grad_norm": 0.00032963225385174155,
+      "learning_rate": 5.8450041016092464e-05,
+      "loss": 46.0,
+      "step": 195
+    },
+    {
+      "epoch": 0.024428226816085988,
+      "grad_norm": 0.0002963414299301803,
+      "learning_rate": 5.6350890987343944e-05,
+      "loss": 46.0,
+      "step": 200
+    },
+    {
+      "epoch": 0.024428226816085988,
+      "eval_loss": 11.5,
+      "eval_runtime": 22.3211,
+      "eval_samples_per_second": 154.472,
+      "eval_steps_per_second": 77.236,
+      "step": 200
+    },
+    {
+      "epoch": 0.025038932486488138,
+      "grad_norm": 0.00021887882030569017,
+      "learning_rate": 5.4240296223775465e-05,
+      "loss": 46.0,
+      "step": 205
+    },
+    {
+      "epoch": 0.025649638156890288,
+      "grad_norm": 0.00023999107361305505,
+      "learning_rate": 5.212206015980742e-05,
+      "loss": 46.0,
+      "step": 210
+    },
+    {
+      "epoch": 0.026260343827292438,
+      "grad_norm": 0.00023386770044453442,
+      "learning_rate": 5e-05,
+      "loss": 46.0,
+      "step": 215
+    },
+    {
+      "epoch": 0.026871049497694584,
+      "grad_norm": 0.0002699745527934283,
+      "learning_rate": 4.78779398401926e-05,
+      "loss": 46.0,
+      "step": 220
+    },
+    {
+      "epoch": 0.027481755168096735,
+      "grad_norm": 0.00032450436265207827,
+      "learning_rate": 4.575970377622456e-05,
+      "loss": 46.0,
+      "step": 225
+    },
+    {
+      "epoch": 0.028092460838498885,
+      "grad_norm": 0.0002890110481530428,
+      "learning_rate": 4.364910901265606e-05,
+      "loss": 46.0,
+      "step": 230
+    },
+    {
+      "epoch": 0.028703166508901035,
+      "grad_norm": 0.0002972777874674648,
+      "learning_rate": 4.1549958983907555e-05,
+      "loss": 46.0,
+      "step": 235
+    },
+    {
+      "epoch": 0.029313872179303185,
+      "grad_norm": 0.0003348960308358073,
+      "learning_rate": 3.94660365002137e-05,
+      "loss": 46.0,
+      "step": 240
+    },
+    {
+      "epoch": 0.029924577849705335,
+      "grad_norm": 0.0003595406888052821,
+      "learning_rate": 3.740109693074375e-05,
+      "loss": 46.0,
+      "step": 245
+    },
+    {
+      "epoch": 0.030535283520107485,
+      "grad_norm": 0.00034705991856753826,
+      "learning_rate": 3.5358861436172485e-05,
+      "loss": 46.0,
+      "step": 250
+    },
+    {
+      "epoch": 0.031145989190509635,
+      "grad_norm": 0.00019824641640298069,
+      "learning_rate": 3.334301026289712e-05,
+      "loss": 46.0,
+      "step": 255
+    },
+    {
+      "epoch": 0.03175669486091178,
+      "grad_norm": 0.0003378826950211078,
+      "learning_rate": 3.135717611098458e-05,
+      "loss": 46.0,
+      "step": 260
+    },
+    {
+      "epoch": 0.032367400531313935,
+      "grad_norm": 0.00028211367316544056,
+      "learning_rate": 2.9404937587800375e-05,
+      "loss": 46.0,
+      "step": 265
+    },
+    {
+      "epoch": 0.03297810620171608,
+      "grad_norm": 0.00028978593763895333,
+      "learning_rate": 2.748981275911633e-05,
+      "loss": 46.0,
+      "step": 270
+    },
+    {
+      "epoch": 0.033588811872118235,
+      "grad_norm": 0.00031383702298626304,
+      "learning_rate": 2.5615252809318284e-05,
+      "loss": 46.0,
+      "step": 275
+    },
+    {
+      "epoch": 0.03419951754252038,
+      "grad_norm": 0.0003121411718893796,
+      "learning_rate": 2.3784635822138424e-05,
+      "loss": 46.0,
+      "step": 280
+    },
+    {
+      "epoch": 0.034810223212922535,
+      "grad_norm": 0.000346492714015767,
+      "learning_rate": 2.2001260693120233e-05,
+      "loss": 46.0,
+      "step": 285
+    },
+    {
+      "epoch": 0.03542092888332468,
+      "grad_norm": 0.00036268169060349464,
+      "learning_rate": 2.026834118478567e-05,
+      "loss": 46.0,
+      "step": 290
+    },
+    {
+      "epoch": 0.03603163455372683,
+      "grad_norm": 0.00044341495959088206,
+      "learning_rate": 1.858900013521788e-05,
+      "loss": 46.0,
+      "step": 295
+    },
+    {
+      "epoch": 0.03664234022412898,
+      "grad_norm": 0.0003739699022844434,
+      "learning_rate": 1.6966263830495936e-05,
+      "loss": 46.0,
+      "step": 300
+    },
+    {
+      "epoch": 0.03664234022412898,
+      "eval_loss": 11.5,
+      "eval_runtime": 22.4161,
+      "eval_samples_per_second": 153.818,
+      "eval_steps_per_second": 76.909,
+      "step": 300
+    },
+    {
+      "epoch": 0.03725304589453113,
+      "grad_norm": 0.0001925858814502135,
+      "learning_rate": 1.5403056551122697e-05,
+      "loss": 46.0,
+      "step": 305
+    },
+    {
+      "epoch": 0.03786375156493328,
+      "grad_norm": 0.00032552919583395123,
+      "learning_rate": 1.3902195302273779e-05,
+      "loss": 46.0,
+      "step": 310
+    },
+    {
+      "epoch": 0.03847445723533543,
+      "grad_norm": 0.00047274224925786257,
+      "learning_rate": 1.246638473736378e-05,
+      "loss": 46.0,
+      "step": 315
+    },
+    {
+      "epoch": 0.03908516290573758,
+      "grad_norm": 0.00031744991429150105,
+      "learning_rate": 1.1098212284078036e-05,
+      "loss": 46.0,
+      "step": 320
+    },
+    {
+      "epoch": 0.03969586857613973,
+      "grad_norm": 0.0003673922037705779,
+      "learning_rate": 9.800143481652979e-06,
+      "loss": 46.0,
+      "step": 325
+    },
+    {
+      "epoch": 0.04030657424654188,
+      "grad_norm": 0.00039610432577319443,
+      "learning_rate": 8.574517537807897e-06,
+      "loss": 46.0,
+      "step": 330
+    },
+    {
+      "epoch": 0.04091727991694403,
+      "grad_norm": 0.0004075795004609972,
+      "learning_rate": 7.423543113334436e-06,
+      "loss": 46.0,
+      "step": 335
+    },
+    {
+      "epoch": 0.041527985587346175,
+      "grad_norm": 0.00036381828249432147,
+      "learning_rate": 6.349294341940593e-06,
+      "loss": 46.0,
+      "step": 340
+    },
+    {
+      "epoch": 0.04213869125774833,
+      "grad_norm": 0.0003588273248169571,
+      "learning_rate": 5.353707092521582e-06,
+      "loss": 46.0,
+      "step": 345
+    },
+    {
+      "epoch": 0.042749396928150475,
+      "grad_norm": 0.00041598634561523795,
+      "learning_rate": 4.43857548059321e-06,
+      "loss": 46.0,
+      "step": 350
+    },
+    {
+      "epoch": 0.04336010259855263,
+      "grad_norm": 0.00031224085250869393,
+      "learning_rate": 3.605548635174533e-06,
+      "loss": 46.0,
+      "step": 355
+    },
+    {
+      "epoch": 0.043970808268954775,
+      "grad_norm": 0.00037712001358158886,
+      "learning_rate": 2.85612772694579e-06,
+      "loss": 46.0,
+      "step": 360
+    },
+    {
+      "epoch": 0.04458151393935693,
+      "grad_norm": 0.0003957616863772273,
+      "learning_rate": 2.191663263037458e-06,
+      "loss": 46.0,
+      "step": 365
+    },
+    {
+      "epoch": 0.045192219609759075,
+      "grad_norm": 0.00037767720641568303,
+      "learning_rate": 1.6133526533250565e-06,
+      "loss": 46.0,
+      "step": 370
+    },
+    {
+      "epoch": 0.04580292528016123,
+      "grad_norm": 0.00033137385617010295,
+      "learning_rate": 1.1222380526156928e-06,
+      "loss": 46.0,
+      "step": 375
+    },
+    {
+      "epoch": 0.046413630950563375,
+      "grad_norm": 0.00036192245897836983,
+      "learning_rate": 7.192044826145771e-07,
+      "loss": 46.0,
+      "step": 380
+    },
+    {
+      "epoch": 0.04702433662096553,
+      "grad_norm": 0.0004093432507943362,
+      "learning_rate": 4.049782370561583e-07,
+      "loss": 46.0,
+      "step": 385
+    },
+    {
+      "epoch": 0.047635042291367675,
+      "grad_norm": 0.000310163595713675,
+      "learning_rate": 1.8012557287367392e-07,
+      "loss": 46.0,
+      "step": 390
+    },
+    {
+      "epoch": 0.04824574796176982,
+      "grad_norm": 0.0002933391951955855,
+      "learning_rate": 4.5051689765929214e-08,
+      "loss": 46.0,
+      "step": 395
+    },
+    {
+      "epoch": 0.048856453632171976,
+      "grad_norm": 0.00036240380723029375,
+      "learning_rate": 0.0,
+      "loss": 46.0,
+      "step": 400
+    },
+    {
+      "epoch": 0.048856453632171976,
+      "eval_loss": 11.5,
+      "eval_runtime": 22.3644,
+      "eval_samples_per_second": 154.174,
+      "eval_steps_per_second": 77.087,
+      "step": 400
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 400,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 16197300191232.0,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:438f6764965c8c60918adb45d5ddf3dfd38f46e1887608b9e8af1584138c5b17
+size 6776