Training in progress, step 50, 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": 128,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "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 sha256:7072ca141b1e7d761629c3aec158367c0d664e5f374ae306825ea0320dd172b8
+size 34456

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 sha256:81e9b77494101b6d4957618be1f33fb0d4159d7e70e4628dff4644e1ae7930a7
+size 73222

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:281208ae0d82f3fa95aaf9c71469ab1be8beef2965861f2431dacad0d3ad5b8c
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1479f554a7a167fd87e9ce99235e9d065370465268e2f8373a74df4bd50982ce
+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 +1,408 @@
+{
+  "best_metric": 11.5,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.001818909381934592,
+  "eval_steps": 50,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 3.637818763869184e-05,
+      "grad_norm": 3.0213206628104672e-05,
+      "learning_rate": 1.0060000000000002e-05,
+      "loss": 23.0,
+      "step": 1
+    },
+    {
+      "epoch": 3.637818763869184e-05,
+      "eval_loss": 11.5,
+      "eval_runtime": 151.3209,
+      "eval_samples_per_second": 76.493,
+      "eval_steps_per_second": 19.125,
+      "step": 1
+    },
+    {
+      "epoch": 7.275637527738368e-05,
+      "grad_norm": 2.2829284716863185e-05,
+      "learning_rate": 2.0120000000000004e-05,
+      "loss": 23.0,
+      "step": 2
+    },
+    {
+      "epoch": 0.00010913456291607552,
+      "grad_norm": 1.8357066437602043e-05,
+      "learning_rate": 3.018e-05,
+      "loss": 23.0,
+      "step": 3
+    },
+    {
+      "epoch": 0.00014551275055476736,
+      "grad_norm": 2.194116859755013e-05,
+      "learning_rate": 4.024000000000001e-05,
+      "loss": 23.0,
+      "step": 4
+    },
+    {
+      "epoch": 0.0001818909381934592,
+      "grad_norm": 2.0882815078948624e-05,
+      "learning_rate": 5.03e-05,
+      "loss": 23.0,
+      "step": 5
+    },
+    {
+      "epoch": 0.00021826912583215103,
+      "grad_norm": 3.217526318621822e-05,
+      "learning_rate": 6.036e-05,
+      "loss": 23.0,
+      "step": 6
+    },
+    {
+      "epoch": 0.00025464731347084286,
+      "grad_norm": 2.8971715437364765e-05,
+      "learning_rate": 7.042e-05,
+      "loss": 23.0,
+      "step": 7
+    },
+    {
+      "epoch": 0.0002910255011095347,
+      "grad_norm": 1.676463034527842e-05,
+      "learning_rate": 8.048000000000002e-05,
+      "loss": 23.0,
+      "step": 8
+    },
+    {
+      "epoch": 0.00032740368874822657,
+      "grad_norm": 3.206745532224886e-05,
+      "learning_rate": 9.054000000000001e-05,
+      "loss": 23.0,
+      "step": 9
+    },
+    {
+      "epoch": 0.0003637818763869184,
+      "grad_norm": 2.8715619919239543e-05,
+      "learning_rate": 0.0001006,
+      "loss": 23.0,
+      "step": 10
+    },
+    {
+      "epoch": 0.00040016006402561027,
+      "grad_norm": 1.8758235455607064e-05,
+      "learning_rate": 0.00010007052631578948,
+      "loss": 23.0,
+      "step": 11
+    },
+    {
+      "epoch": 0.00043653825166430207,
+      "grad_norm": 2.735985253821127e-05,
+      "learning_rate": 9.954105263157895e-05,
+      "loss": 23.0,
+      "step": 12
+    },
+    {
+      "epoch": 0.0004729164393029939,
+      "grad_norm": 4.027846807730384e-05,
+      "learning_rate": 9.901157894736842e-05,
+      "loss": 23.0,
+      "step": 13
+    },
+    {
+      "epoch": 0.0005092946269416857,
+      "grad_norm": 4.429101318237372e-05,
+      "learning_rate": 9.84821052631579e-05,
+      "loss": 23.0,
+      "step": 14
+    },
+    {
+      "epoch": 0.0005456728145803776,
+      "grad_norm": 3.3590822567930445e-05,
+      "learning_rate": 9.795263157894737e-05,
+      "loss": 23.0,
+      "step": 15
+    },
+    {
+      "epoch": 0.0005820510022190694,
+      "grad_norm": 2.6291587346349843e-05,
+      "learning_rate": 9.742315789473686e-05,
+      "loss": 23.0,
+      "step": 16
+    },
+    {
+      "epoch": 0.0006184291898577613,
+      "grad_norm": 4.353782787802629e-05,
+      "learning_rate": 9.689368421052633e-05,
+      "loss": 23.0,
+      "step": 17
+    },
+    {
+      "epoch": 0.0006548073774964531,
+      "grad_norm": 7.02256802469492e-05,
+      "learning_rate": 9.63642105263158e-05,
+      "loss": 23.0,
+      "step": 18
+    },
+    {
+      "epoch": 0.0006911855651351449,
+      "grad_norm": 6.216230394784361e-05,
+      "learning_rate": 9.583473684210527e-05,
+      "loss": 23.0,
+      "step": 19
+    },
+    {
+      "epoch": 0.0007275637527738368,
+      "grad_norm": 5.73032557440456e-05,
+      "learning_rate": 9.530526315789474e-05,
+      "loss": 23.0,
+      "step": 20
+    },
+    {
+      "epoch": 0.0007639419404125286,
+      "grad_norm": 5.283307473291643e-05,
+      "learning_rate": 9.477578947368422e-05,
+      "loss": 23.0,
+      "step": 21
+    },
+    {
+      "epoch": 0.0008003201280512205,
+      "grad_norm": 3.86905885534361e-05,
+      "learning_rate": 9.424631578947369e-05,
+      "loss": 23.0,
+      "step": 22
+    },
+    {
+      "epoch": 0.0008366983156899123,
+      "grad_norm": 4.2620362364687026e-05,
+      "learning_rate": 9.371684210526316e-05,
+      "loss": 23.0,
+      "step": 23
+    },
+    {
+      "epoch": 0.0008730765033286041,
+      "grad_norm": 2.9412009098450653e-05,
+      "learning_rate": 9.318736842105263e-05,
+      "loss": 23.0,
+      "step": 24
+    },
+    {
+      "epoch": 0.000909454690967296,
+      "grad_norm": 7.737339910818264e-05,
+      "learning_rate": 9.26578947368421e-05,
+      "loss": 23.0,
+      "step": 25
+    },
+    {
+      "epoch": 0.0009458328786059878,
+      "grad_norm": 6.505755300167948e-05,
+      "learning_rate": 9.212842105263159e-05,
+      "loss": 23.0,
+      "step": 26
+    },
+    {
+      "epoch": 0.0009822110662446796,
+      "grad_norm": 7.259017729666084e-05,
+      "learning_rate": 9.159894736842107e-05,
+      "loss": 23.0,
+      "step": 27
+    },
+    {
+      "epoch": 0.0010185892538833714,
+      "grad_norm": 5.836385753354989e-05,
+      "learning_rate": 9.106947368421054e-05,
+      "loss": 23.0,
+      "step": 28
+    },
+    {
+      "epoch": 0.0010549674415220635,
+      "grad_norm": 0.00012386597518343478,
+      "learning_rate": 9.054000000000001e-05,
+      "loss": 23.0,
+      "step": 29
+    },
+    {
+      "epoch": 0.0010913456291607553,
+      "grad_norm": 0.0001556278148200363,
+      "learning_rate": 9.001052631578948e-05,
+      "loss": 23.0,
+      "step": 30
+    },
+    {
+      "epoch": 0.001127723816799447,
+      "grad_norm": 7.392914994852617e-05,
+      "learning_rate": 8.948105263157895e-05,
+      "loss": 23.0,
+      "step": 31
+    },
+    {
+      "epoch": 0.0011641020044381389,
+      "grad_norm": 6.028249117662199e-05,
+      "learning_rate": 8.895157894736842e-05,
+      "loss": 23.0,
+      "step": 32
+    },
+    {
+      "epoch": 0.0012004801920768306,
+      "grad_norm": 0.0001456019381294027,
+      "learning_rate": 8.842210526315789e-05,
+      "loss": 23.0,
+      "step": 33
+    },
+    {
+      "epoch": 0.0012368583797155227,
+      "grad_norm": 8.436777716269717e-05,
+      "learning_rate": 8.789263157894738e-05,
+      "loss": 23.0,
+      "step": 34
+    },
+    {
+      "epoch": 0.0012732365673542145,
+      "grad_norm": 9.687324927654117e-05,
+      "learning_rate": 8.736315789473685e-05,
+      "loss": 23.0,
+      "step": 35
+    },
+    {
+      "epoch": 0.0013096147549929063,
+      "grad_norm": 0.00013006821973249316,
+      "learning_rate": 8.683368421052632e-05,
+      "loss": 23.0,
+      "step": 36
+    },
+    {
+      "epoch": 0.001345992942631598,
+      "grad_norm": 0.00012605867232196033,
+      "learning_rate": 8.63042105263158e-05,
+      "loss": 23.0,
+      "step": 37
+    },
+    {
+      "epoch": 0.0013823711302702899,
+      "grad_norm": 8.003330731298774e-05,
+      "learning_rate": 8.577473684210527e-05,
+      "loss": 23.0,
+      "step": 38
+    },
+    {
+      "epoch": 0.0014187493179089819,
+      "grad_norm": 9.521541505819187e-05,
+      "learning_rate": 8.524526315789474e-05,
+      "loss": 23.0,
+      "step": 39
+    },
+    {
+      "epoch": 0.0014551275055476737,
+      "grad_norm": 0.00017305008077528328,
+      "learning_rate": 8.471578947368421e-05,
+      "loss": 23.0,
+      "step": 40
+    },
+    {
+      "epoch": 0.0014915056931863655,
+      "grad_norm": 0.00016906786186154932,
+      "learning_rate": 8.41863157894737e-05,
+      "loss": 23.0,
+      "step": 41
+    },
+    {
+      "epoch": 0.0015278838808250573,
+      "grad_norm": 0.0001861914643086493,
+      "learning_rate": 8.365684210526317e-05,
+      "loss": 23.0,
+      "step": 42
+    },
+    {
+      "epoch": 0.001564262068463749,
+      "grad_norm": 0.00020132421923335642,
+      "learning_rate": 8.312736842105264e-05,
+      "loss": 23.0,
+      "step": 43
+    },
+    {
+      "epoch": 0.001600640256102441,
+      "grad_norm": 0.0002141977456631139,
+      "learning_rate": 8.259789473684211e-05,
+      "loss": 23.0,
+      "step": 44
+    },
+    {
+      "epoch": 0.0016370184437411329,
+      "grad_norm": 0.0001226340827997774,
+      "learning_rate": 8.206842105263158e-05,
+      "loss": 23.0,
+      "step": 45
+    },
+    {
+      "epoch": 0.0016733966313798247,
+      "grad_norm": 0.0001583473349455744,
+      "learning_rate": 8.153894736842105e-05,
+      "loss": 23.0,
+      "step": 46
+    },
+    {
+      "epoch": 0.0017097748190185165,
+      "grad_norm": 0.0002799605717882514,
+      "learning_rate": 8.100947368421053e-05,
+      "loss": 23.0,
+      "step": 47
+    },
+    {
+      "epoch": 0.0017461530066572083,
+      "grad_norm": 0.0002967856707982719,
+      "learning_rate": 8.048000000000002e-05,
+      "loss": 23.0,
+      "step": 48
+    },
+    {
+      "epoch": 0.0017825311942959,
+      "grad_norm": 0.00010255781671730801,
+      "learning_rate": 7.995052631578949e-05,
+      "loss": 23.0,
+      "step": 49
+    },
+    {
+      "epoch": 0.001818909381934592,
+      "grad_norm": 0.0003075671847909689,
+      "learning_rate": 7.942105263157896e-05,
+      "loss": 23.0,
+      "step": 50
+    },
+    {
+      "epoch": 0.001818909381934592,
+      "eval_loss": 11.5,
+      "eval_runtime": 151.2138,
+      "eval_samples_per_second": 76.547,
+      "eval_steps_per_second": 19.138,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 200,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2030002962432.0,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f70492f7bfc0b5a2028ba0ef950958a67d03aee8a68c11c59c8c04032c230aa
+size 6840